A - B - C - D - E - F - G - H - I - J - K - L - M - N - O - P - Q - R - S - T - U - V - W - X - Y - Z - Other

**M**

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TR05-147
| 5th December 2005
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Christian Glaßer, Stephen Travers#### Machines that can Output Empty Words

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TR17-003
| 24th November 2016
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Yi Deng#### Magic Adversaries Versus Individual Reduction: Science Wins Either Way

Revisions: 1

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TR14-159
| 27th November 2014
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A. C. Cem Say, Abuzer Yakaryilmaz#### Magic coins are useful for small-space quantum machines

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TR14-173
| 13th December 2014
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Igor Carboni Oliveira, Rahul Santhanam#### Majority is incompressible by AC$^0[p]$ circuits

Revisions: 1

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TR06-003
| 8th January 2006
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Joshua Buresh-Oppenheim, Rahul Santhanam#### Making Hard Problems Harder

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TR97-014
| 25th April 1997
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Klaus Reinhardt, Eric Allender#### Making Nondeterminism Unambiguous

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TR12-037
| 10th April 2012
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Alexander A. Sherstov#### Making Polynomials Robust to Noise

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TR10-104
| 29th June 2010
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Paul Beame, Widad Machmouchi#### Making RAMs Oblivious Requires Superlogarithmic Overhead

Revisions: 3
,
Comments: 1

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TR11-142
| 2nd November 2011
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Boaz Barak, Parikshit Gopalan, Johan Hastad, Raghu Meka, Prasad Raghavendra, David Steurer#### Making the long code shorter, with applications to the Unique Games Conjecture

Revisions: 1

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TR16-052
| 7th April 2016
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Gil Cohen#### Making the Most of Advice: New Correlation Breakers and Their Applications

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TR02-034
| 18th April 2002
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Andrei Bulatov#### Mal'tsev constraints are tractable

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TR04-097
| 2nd November 2004
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Víctor Dalmau#### Malt'sev Constraints made Simple

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TR10-023
| 23rd February 2010
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Adam Klivans, Homin Lee, Andrew Wan#### Mansour’s Conjecture is True for Random DNF Formulas

Revisions: 3

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TR11-133
| 4th October 2011
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Maurice Jansen, Rahul Santhanam#### Marginal Hitting Sets Imply Super-Polynomial Lower Bounds for Permanent

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TR05-045
| 12th April 2005
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Philippe Moser#### Martingale Families and Dimension in P

Revisions: 1

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TR12-107
| 30th August 2012
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Brendan Juba, Ryan Williams#### Massive Online Teaching to Bounded Learners

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TR13-048
| 27th March 2013
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Jin-Yi Cai, Aaron Gorenstein#### Matchgates Revisited

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TR10-012
| 27th January 2010
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Zeev Dvir, Parikshit Gopalan, Sergey Yekhanin#### Matching Vector Codes

Revisions: 1

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TR13-061
| 17th April 2013
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Zeev Dvir, Guangda Hu#### Matching-Vector Families and LDCs Over Large Modulo

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TR15-079
| 7th May 2015
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Oded Goldreich, Avishay Tal#### Matrix Rigidity of Random Toeplitz Matrices

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TR97-039
| 11th September 1997
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Pierluigi Crescenzi, Luca Trevisan#### MAX NP-Completeness Made Easy

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TR11-099
| 11th July 2011
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Anant Jindal, Gazal Kochar, Manjish Pal#### Maximum Matchings via Glauber Dynamics

Revisions: 1
,
Comments: 1

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TR04-040
| 4th May 2004
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Venkatesan Guruswami, Alexander Vardy#### Maximum-likelihood decoding of Reed-Solomon codes is NP-hard

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TR10-197
| 14th December 2010
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Albert Atserias, Elitza Maneva#### Mean-payoff games and propositional proofs

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TR14-057
| 17th April 2014
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Manindra Agrawal, Diptarka Chakraborty, Debarati Das, Satyadev Nandakumar#### Measure of Non-pseudorandomness and Deterministic Extraction of Pseudorandomness

Revisions: 3

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TR02-065
| 26th November 2002
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Olivier Powell#### Measure on P revisited

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TR95-028
| 9th June 1995
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Eric Allender, Martin Strauss#### Measure on P: Robustness of the Notion

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TR94-004
| 12th December 1994
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Eric Allender, Martin Strauss#### Measure on Small Complexity Classes, with Applications for BPP

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TR00-076
| 24th August 2000
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Juraj Hromkovic, Juhani Karhumaki, Hartmut Klauck, Georg Schnitger, Sebastian Seibert#### Measures of Nondeterminism in Finite Automata

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TR05-004
| 3rd January 2005
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Leslie G. Valiant#### Memorization and Association on a Realistic Neural Model

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TR15-126
| 27th July 2015
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Jacob Steinhardt, Gregory Valiant, Stefan Wager#### Memory, Communication, and Statistical Queries

Revisions: 1

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TR11-092
| 2nd June 2011
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Doerr Benjamin, Winzen Carola#### Memory-Restricted Black-Box Complexity

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TR05-151
| 7th December 2005
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Magnus Bordewich, Martin Dyer, Marek Karpinski#### Metric Construction, Stopping Times and Path Coupling.

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TR16-128
| 13th August 2016
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Irit Dinur#### Mildly exponential reduction from gap 3SAT to polynomial-gap label-cover

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TR09-008
| 15th January 2009
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Stasys Jukna, Georg Schnitger#### Min-Rank Conjecture for Log-Depth Circuits

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TR03-002
| 13th December 2002
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Stefan Szeider#### Minimal unsatisfiable formulas with bounded clause-variable difference are fixed-parameter tractable

Revisions: 1

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TR02-054
| 5th September 2002
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Detlef Sieling#### Minimization of Decision Trees is Hard to Approximate

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TR05-126
| 5th November 2005
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Eric Allender, Lisa Hellerstein, Paul McCabe, Michael Saks#### Minimizing DNF Formulas and AC0 Circuits Given a Truth Table

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TR15-045
| 1st April 2015
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Benny Applebaum, Yuval Ishai, Eyal Kushilevitz#### Minimizing Locality of One-Way Functions via Semi-Private Randomized Encodings

Revisions: 1

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TR17-158
| 23rd October 2017
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Eric Allender, Joshua Grochow, Dieter van Melkebeek, Cris Moore, Andrew Morgan#### Minimum Circuit Size, Graph Isomorphism, and Related Problems

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TR13-057
| 5th April 2013
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Ruiwen Chen, Valentine Kabanets, Antonina Kolokolova, Ronen Shaltiel, David Zuckerman#### Mining Circuit Lower Bound Proofs for Meta-Algorithms

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TR17-017
| 5th February 2017
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Michal Moshkovitz, Dana Moshkovitz#### Mixing Implies Lower Bounds for Space Bounded Learning

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TR17-116
| 5th July 2017
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Michal Moshkovitz, Dana Moshkovitz#### Mixing Implies Strong Lower Bounds for Space Bounded Learning

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TR09-111
| 5th November 2009
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Walid Gomaa#### Model-Theoretic Characterization of Complexity Classes

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TR05-120
| 14th October 2005
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Sashka Davis, Russell Impagliazzo#### Models of Greedy Algorithms for Graph Problems

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TR96-001
| 10th January 1996
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Manindra Agrawal, Richard Beigel, Thomas Thierauf#### Modulo Information from Nonadaptive Queries to NP

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TR13-008
| 7th January 2013
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Adam Klivans, Raghu Meka#### Moment-Matching Polynomials

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TR17-175
| 13th November 2017
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Ankit Garg, Mika Göös, Pritish Kamath, Dmitry Sokolov#### Monotone Circuit Lower Bounds from Resolution

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TR11-121
| 12th September 2011
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Oded Goldreich, Rani Izsak#### Monotone Circuits: One-Way Functions versus Pseudorandom Generators

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TR02-007
| 14th January 2002
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Pavel Pudlak#### Monotone complexity and the rank of matrices

Comments: 1

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TR09-135
| 10th December 2009
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Zeev Dvir, Avi Wigderson#### Monotone expanders - constructions and applications

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TR15-171
| 28th October 2015
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Joshua Grochow#### Monotone projection lower bounds from extended formulation lower bounds

Revisions: 2
,
Comments: 1

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TR00-008
| 20th January 2000
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Albert Atserias, Nicola Galesi, Ricard Gavaldà#### Monotone Proofs of the Pigeon Hole Principle

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TR11-025
| 19th February 2011
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Yang Li#### Monotone Rank and Separations in Computational Complexity

Revisions: 1
,
Comments: 1

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TR00-087
| 14th November 2000
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Albert Atserias, Nicola Galesi, Pavel Pudlak#### Monotone simulations of nonmonotone propositional proofs

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TR10-048
| 24th March 2010
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David García Soriano, Arie Matsliah, Sourav Chakraborty, Jop Briet#### Monotonicity Testing and Shortest-Path Routing on the Cube

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TR17-167
| 3rd November 2017
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Chin Ho Lee, Emanuele Viola#### More on bounded independence plus noise: Pseudorandom generators for read-once polynomials

Revisions: 1

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TR18-025
| 1st February 2018
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Olaf Beyersdorff, Judith Clymo#### More on Size and Width in QBF Resolution

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TR17-097
| 31st May 2017
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Itay Berman, Akshay Degwekar, Ron Rothblum, Prashant Nalini Vasudevan#### Multi Collision Resistant Hash Functions and their Applications

Revisions: 1

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TR15-015
| 30th January 2015
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Neeraj Kayal, Chandan Saha#### Multi-$k$-ic depth three circuit lower bound

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TR17-099
| 5th June 2017
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Nir Bitansky, Omer Paneth, Yael Tauman Kalai#### Multi-Collision Resistance: A Paradigm for Keyless Hash Functions

Revisions: 1

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TR00-015
| 16th February 2000
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Andrej Muchnik, Alexej Semenov#### Multi-conditional Descriptions and Codes in Kolmogorov Complexity

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TR03-067
| 14th August 2003
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Ran Raz#### Multi-Linear Formulas for Permanent and Determinant are of Super-Polynomial Size

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TR14-149
| 10th November 2014
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Kai-Min Chung, Xin Li, Xiaodi Wu#### Multi-Source Randomness Extractors Against Quantum Side Information, and their Applications

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TR13-011
| 10th January 2013
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Nader Bshouty#### Multilinear Complexity is Equivalent to Optimal Tester Size

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TR03-079
| 8th November 2003
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Scott Aaronson#### Multilinear Formulas and Skepticism of Quantum Computing

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TR07-085
| 2nd September 2007
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Ran Raz, Amir Yehudayoff#### Multilinear Formulas, Maximal-Partition Discrepancy and Mixed-Sources Extractors

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TR04-042
| 21st May 2004
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Ran Raz#### Multilinear-$NC_1$ $\ne$ Multilinear-$NC_2$

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TR08-082
| 11th September 2008
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Paul Beame, Trinh Huynh#### Multiparty Communication Complexity and Threshold Circuit Size of AC^0

Revisions: 2

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TR08-061
| 11th June 2008
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Paul Beame, Trinh Huynh#### Multiparty Communication Complexity of AC^0

Revisions: 1

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TR08-002
| 19th December 2007
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Arkadev Chattopadhyay, Anil Ada#### Multiparty Communication Complexity of Disjointness

Revisions: 3

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TR16-160
| 26th October 2016
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Irit Dinur, Prahladh Harsha, Rakesh Venkat, Henry Yuen#### Multiplayer parallel repetition for expander games

Revisions: 1

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TR95-017
| 27th March 1995
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Claudia Bertram, Thomas Hofmeister#### Multiple Product Modulo Arbitrary Numbers

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TR16-185
| 18th November 2016
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Vijay Bhattiprolu, Mrinalkanti Ghosh, Venkatesan Guruswami, Euiwoong Lee, Madhur Tulsiani#### Multiplicative Approximations for Polynomial Optimization Over the Unit Sphere

Revisions: 1

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TR06-006
| 16th December 2005
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Alexander Shen#### Multisource algorithmic information theory

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TR08-096
| 8th September 2008
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Andrew Drucker#### Multitask Efficiencies in the Decision Tree Model

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TR10-202
| 9th December 2010
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Bin Fu#### Multivariate Polynomial Integration and Derivative Are Polynomial Time Inapproximable unless P=NP

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TR14-133
| 15th October 2014
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Adam Case, Jack H. Lutz#### Mutual Dimension

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TR94-021
| 12th December 1994
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Lance Fortnow#### My Favorite Ten Complexity Theorems of the Past Decade

Christian Glaßer, Stephen Travers

We propose the e-model for leaf languages which generalizes the known balanced and unbalanced concepts. Inspired by the neutral behavior of rejecting paths of NP machines, we allow transducers to output empty words.

The paper explains several advantages of the new model. A central aspect is that it allows us ... more >>>

Yi Deng

We prove that \emph{at least} one of the following statements is true:

-- (Infinitely-often) Public-key encryption and key agreement can be based on injective one-way functions;

-- For every inverse polynomial $\epsilon$, the 4-round protocol from [Feige and Shamir, STOC 90] is distributional concurrent zero knowledge for any ...
more >>>

A. C. Cem Say, Abuzer Yakaryilmaz

Although polynomial-time probabilistic Turing machines can utilize uncomputable transition probabilities to recognize uncountably many languages with bounded error when allowed to use logarithmic space, it is known that such ``magic coins'' give no additional computational power to constant-space versions of those machines. We show that adding a few quantum bits ... more >>>

Igor Carboni Oliveira, Rahul Santhanam

We consider $\cal C$-compression games, a hybrid model between computational and communication complexity. A $\cal C$-compression game for a function $f \colon \{0,1\}^n \to \{0,1\}$ is a two-party communication game, where the first party Alice knows the entire input $x$ but is restricted to use strategies computed by $\cal C$-circuits, ... more >>>

Joshua Buresh-Oppenheim, Rahul Santhanam

We consider a general approach to the hoary problem of (im)proving circuit lower bounds. We define notions of hardness condensing and hardness extraction, in analogy to the corresponding notions from the computational theory of randomness. A hardness condenser is a procedure that takes in a Boolean function as input, as ... more >>>

Klaus Reinhardt, Eric Allender

We show that in the context of nonuniform complexity,

nondeterministic logarithmic space bounded computation can be made

unambiguous. An analogous result holds for the class of problems

reducible to context-free languages. In terms of complexity classes,

this can be stated as:

NL/poly = UL/poly

LogCFL/poly ...
more >>>

Alexander A. Sherstov

A basic question in any computational model is how to reliably compute a given function when the inputs or intermediate computations are subject to noise at a constant rate. Ideally, one would like to use at most a constant factor more resources compared to the noise-free case. This question has ... more >>>

Paul Beame, Widad Machmouchi

We prove a time-space tradeoff lower bound of $T =

\Omega\left(n\log(\frac{n}{S}) \log \log(\frac{n}{S})\right) $ for

randomized oblivious branching programs to compute $1GAP$, also

known as the pointer jumping problem, a problem for which there is a

simple deterministic time $n$ and space $O(\log n)$ RAM (random

access machine) algorithm.

In ... more >>>

Boaz Barak, Parikshit Gopalan, Johan Hastad, Raghu Meka, Prasad Raghavendra, David Steurer

The long code is a central tool in hardness of approximation, especially in

questions related to the unique games conjecture. We construct a new code that

is exponentially more ecient, but can still be used in many of these applications.

Using the new code we obtain exponential improvements over several ...
more >>>

Gil Cohen

A typical obstacle one faces when constructing pseudorandom objects is undesired correlations between random variables. Identifying this obstacle and constructing certain types of "correlation breakers" was central for recent exciting advances in the construction of multi-source and non-malleable extractors. One instantiation of correlation breakers is correlation breakers with advice. These ... more >>>

Andrei Bulatov

A wide variety of combinatorial problems can be represented in the form of the Constraint Satisfaction Problem (CSP). The general CSR is known to be NP-complete, however, some restrictions on the possible form of constraints may lead to a tractable subclass. Jeavons and coauthors have shown that the complexity of ... more >>>

Víctor Dalmau

We give in this paper a different and simpler proof of the tractability of Mal'tsev contraints.

more >>>Adam Klivans, Homin Lee, Andrew Wan

In 1994, Y. Mansour conjectured that for every DNF formula on $n$ variables with $t$ terms there exists a polynomial $p$ with $t^{O(\log (1/\epsilon))}$ non-zero coefficients such that $\E_{x \in \{0,1\}}[(p(x)-f(x))^2] \leq \epsilon$. We make the first progress on this conjecture and show that it is true for several natural ... more >>>

Maurice Jansen, Rahul Santhanam

Suppose $f$ is a univariate polynomial of degree $r=r(n)$ that is computed by a size $n$ arithmetic circuit.

It is a basic fact of algebra that a nonzero univariate polynomial of degree $r$ can vanish on at most $r$ points. This implies that for checking whether $f$ is identically zero, ...
more >>>

Philippe Moser

We introduce a new measure notion on small complexity classes (called F-measure), based on martingale families,

that get rid of some drawbacks of previous measure notions:

martingale families can make money on all strings,

and yield random sequences with an equal frequency of 0's and 1's.

As applications to F-measure,

more >>>

Brendan Juba, Ryan Williams

We consider a model of teaching in which the learners are consistent and have bounded state, but are otherwise arbitrary. The teacher is non-interactive and ``massively open'': the teacher broadcasts a sequence of examples of an arbitrary target concept, intended for every possible on-line learning algorithm to learn from. We ... more >>>

Jin-Yi Cai, Aaron Gorenstein

We study a collection of concepts and theorems that laid the foundation of matchgate computation. This includes the signature theory of planar matchgates, and the parallel theory of characters of not necessarily planar matchgates. Our aim is to present a unified and, whenever possible, simplified account of this challenging theory. ... more >>>

Zeev Dvir, Parikshit Gopalan, Sergey Yekhanin

An $(r,\delta,\epsilon)$-locally decodable code encodes a $k$-bit message $x$ to an $N$-bit codeword $C(x),$ such that for every $i\in [k],$ the $i$-th message bit can be recovered with probability $1-\epsilon,$ by a randomized decoding procedure that reads only $r$ bits, even if the codeword $C(x)$ is corrupted in up to ... more >>>

Zeev Dvir, Guangda Hu

We prove new upper bounds on the size of families of vectors in $\Z_m^n$ with restricted modular inner products, when $m$ is a large integer. More formally, if $\vec{u}_1,\ldots,\vec{u}_t \in \Z_m^n$ and $\vec{v}_1,\ldots,\vec{v}_t \in \Z_m^n$ satisfy $\langle\vec{u}_i,\vec{v}_i\rangle\equiv0\pmod m$ and $\langle\vec{u}_i,\vec{v}_j\rangle\not\equiv0\pmod m$ for all $i\neq j\in[t]$, we prove that $t \leq ... more >>>

Oded Goldreich, Avishay Tal

We prove that random $n$-by-$n$ Toeplitz (alternatively Hankel) matrices over $GF(2)$ have rigidity $\Omega(\frac{n^3}{r^2\log n})$ for rank $r \ge \sqrt{n}$, with high probability. This improves, for $r = o(n/\log n \log\log n)$, over the $\Omega(\frac{n^2}{r} \cdot\log(\frac{n}{r}))$ bound that is known for many explicit matrices.

Our result implies that the explicit ... more >>>

Pierluigi Crescenzi, Luca Trevisan

We introduce a simple technique to obtain reductions

between optimization constraint satisfaction problems. The

technique uses the probabilistic method to reduce the size of

disjunctions. As a first application, we prove the

MAX NP-completeness of MAX 3SAT without using the PCP theorem

(thus solving an open ...
more >>>

Anant Jindal, Gazal Kochar, Manjish Pal

In this paper we study the classic problem of computing a maximum cardinality matching in general graphs $G = (V, E)$. This problem has been studied extensively more than four decades. The best known algorithm for this problem till date runs in $O(m \sqrt{n})$ time due to Micali and Vazirani ... more >>>

Venkatesan Guruswami, Alexander Vardy

Maximum-likelihood decoding is one of the central algorithmic

problems in coding theory. It has been known for over 25 years

that maximum-likelihood decoding of general linear codes is

NP-hard. Nevertheless, it was so far unknown whether maximum-

likelihood decoding remains hard for any specific family of

more >>>

Albert Atserias, Elitza Maneva

We associate a CNF-formula to every instance of the mean-payoff game problem in such a way that if the value of the game is non-negative the formula is satisfiable, and if the value of the game is negative the formula has a polynomial-size refutation in $\Sigma_2$-Frege (i.e.~DNF-resolution). This reduces mean-payoff ... more >>>

Manindra Agrawal, Diptarka Chakraborty, Debarati Das, Satyadev Nandakumar

In this paper, we propose a quantification of distributions on a set

of strings, in terms of how close to pseudorandom the distribution

is. The quantification is an adaptation of the theory of dimension of

sets of infinite sequences first introduced by Lutz

\cite{Lutz:DISS}.

We show that this definition ...
more >>>

Olivier Powell

We revisit the problem of generalising Lutz's resource bounded measure

(rbm) to small complexity classes.

We propose a definition of a perfect rbm on P,

and give sufficient and necessary conditions for such a measure to exist.

We also revisit $\mu_\tau$, an rbm for P

defined in previous articles (c.f. ...
more >>>

Eric Allender, Martin Strauss

In (Allender and Strauss, FOCS '95), we defined a notion of

measure on the complexity class P (in the spirit of the work of (Lutz,

JCSS '92) that provides a notion of measure on complexity classes at least

as large as E, and the work of (Mayordomo, Phd. ...
more >>>

Eric Allender, Martin Strauss

We present a notion of resource-bounded measure for P and other

subexponential-time classes. This generalization is based on Lutz's

notion of measure, but overcomes the limitations that cause Lutz's

definitions to apply only to classes at least as large as E. We

present many of the basic properties of this ...
more >>>

Juraj Hromkovic, Juhani Karhumaki, Hartmut Klauck, Georg Schnitger, Sebastian Seibert

While deterministic finite automata seem to be well understood, surprisingly

many important problems

concerning nondeterministic finite automata (nfa's) remain open.

One such problem area is the study of different measures of nondeterminism in

finite automata and the

estimation of the sizes of minimal nondeterministic finite automata. In this

paper the ...
more >>>

Leslie G. Valiant

A central open question of computational neuroscience is to identify the data structures and algorithms that are used in mammalian cortex to support successive acts of the basic cognitive tasks of memorization and association. This paper addresses the simultaneous challenges of realizing these two distinct tasks with the same data ... more >>>

Jacob Steinhardt, Gregory Valiant, Stefan Wager

If a concept class can be represented with a certain amount of memory, can it be efficiently learned with the same amount of memory? What concepts can be efficiently learned by algorithms that extract only a few bits of information from each example? We introduce a formal framework for studying ... more >>>

Doerr Benjamin, Winzen Carola

We show that the black-box complexity with memory restriction one of the $n$-dimensional $\onemax$ function class is at most $2n$. This disproves the $\Theta(n \log n)$ conjecture of Droste, Jansen, and Wegener (Theory of Computing Systems 39 (2006) 525--544).

more >>>Magnus Bordewich, Martin Dyer, Marek Karpinski

In this paper we examine the importance of the choice of metric in path coupling, and the relationship of this to \emph{stopping time analysis}. We give strong evidence that stopping time analysis is no more powerful than standard path coupling. In particular, we prove a stronger theorem for path coupling ... more >>>

Irit Dinur

We show that if gap-3SAT has no sub-exponential time algorithms then a weak form of the sliding scale conjecture holds. Namely, for every $\alpha>0$ any algorithm for $n^\alpha$-approximating the value of label cover must run in time at least $n^{\Omega(\exp(1/\alpha))}$, where $n$ is the size of the instance.

Put differently, ... more >>>

Stasys Jukna, Georg Schnitger

A completion of an m-by-n matrix A with entries in {0,1,*} is obtained

by setting all *-entries to constants 0 or 1. A system of semi-linear

equations over GF(2) has the form Mx=f(x), where M is a completion of

A and f:{0,1}^n --> {0,1}^m is an operator, the i-th coordinate ...
more >>>

Stefan Szeider

The deficiency of a propositional formula F in CNF with n variables

and m clauses is defined as m-n. It is known that minimal

unsatisfiable formulas (unsatisfiable formulas which become

satisfiable by removing any clause) have positive deficiency.

Recognition of minimal unsatisfiable formulas is NP-hard, and it was

shown recently ...
more >>>

Detlef Sieling

Decision trees are representations of discrete functions with widespread applications in, e.g., complexity theory and data mining and exploration. In these areas it is important to obtain decision trees of small size. The minimization problem for decision trees is known to be NP-hard. In this paper the problem is shown ... more >>>

Eric Allender, Lisa Hellerstein, Paul McCabe, Michael Saks

For circuit classes R, the fundamental computational problem, Min-R,

asks for the minimum R-size of a boolean function presented as a truth

table. Prominent examples of this problem include Min-DNF, and

Min-Circuit (also called MCSP). We begin by presenting a new reduction

proving that Min-DNF is NP-complete. It is significantly ...
more >>>

Benny Applebaum, Yuval Ishai, Eyal Kushilevitz

A one-way function is $d$-local if each of its outputs depends on at most $d$ input bits. In (Applebaum, Ishai, and Kushilevitz, FOCS 2004) it was shown that, under relatively mild assumptions, there exist $4$-local one-way functions (OWFs). This result is not far from optimal as it is not hard ... more >>>

Eric Allender, Joshua Grochow, Dieter van Melkebeek, Cris Moore, Andrew Morgan

We study the computational power of deciding whether a given truth-table can be described by a circuit of a given size (the Minimum Circuit Size Problem, or MCSP for short), and of the variant denoted as MKTP where circuit size is replaced by a polynomially-related Kolmogorov measure. All prior reductions ... more >>>

Ruiwen Chen, Valentine Kabanets, Antonina Kolokolova, Ronen Shaltiel, David Zuckerman

We show that circuit lower bound proofs based on the method of random restrictions yield non-trivial compression algorithms for ``easy'' Boolean functions from the corresponding circuit classes. The compression problem is defined as follows: given the truth table of an $n$-variate Boolean function $f$ computable by some unknown small circuit ... more >>>

Michal Moshkovitz, Dana Moshkovitz

One can learn any hypothesis class $H$ with $O(\log|H|)$ labeled examples. Alas, learning with so few examples requires saving the examples in memory, and this requires $|X|^{O(\log|H|)}$ memory states, where $X$ is the set of all labeled examples. A question that arises is how many labeled examples are needed in ... more >>>

Michal Moshkovitz, Dana Moshkovitz

With any hypothesis class one can associate a bipartite graph whose vertices are the hypotheses H on one side and all possible labeled examples X on the other side, and an hypothesis is connected to all the labeled examples that are consistent with it. We call this graph the hypotheses ... more >>>

Walid Gomaa

Model theory is a branch of mathematical logic that investigates the

logical properties of mathematical structures. It has been quite

successfully applied to computational complexity resulting in an

area of research called descriptive complexity theory. Descriptive

complexity is essentially a syntactical characterization of

complexity classes using logical formalisms. However, there ...
more >>>

Sashka Davis, Russell Impagliazzo

Borodin, Nielsen, and Rackoff gave a model of greedy-like algorithms for scheduling problems and Angelopoulos and Borodin extended their work to facility location and set cover problems. We generalize their notion to include other optimization problems, and apply the generalized framework to graph problems. Our goal is to define an ... more >>>

Manindra Agrawal, Richard Beigel, Thomas Thierauf

The classes of languages accepted by nondeterministic polynomial-time

Turing machines (NP machines, in short) that have restricted access to

an NP oracle --- the machines can ask k queries to the NP oracle and

the answer they receive is the number of queries ...
more >>>

Adam Klivans, Raghu Meka

We give a new framework for proving the existence of low-degree, polynomial approximators for Boolean functions with respect to broad classes of non-product distributions. Our proofs use techniques related to the classical moment problem and deviate significantly from known Fourier-based methods, which require the underlying distribution to have some product ... more >>>

Ankit Garg, Mika Göös, Pritish Kamath, Dmitry Sokolov

For any unsatisfiable CNF formula $F$ that is hard to refute in the Resolution proof system, we show that a gadget-composed version of $F$ is hard to refute in any proof system whose lines are computed by efficient communication protocols---or, equivalently, that a monotone function associated with $F$ has large ... more >>>

Oded Goldreich, Rani Izsak

We study the computability of one-way functions and pseudorandom generators

by monotone circuits, showing a substantial gap between the two:

On one hand, there exist one-way functions that are computable

by (uniform) polynomial-size monotone functions, provided (of course)

that one-way functions exist at all.

On the other hand, ...
more >>>

Pavel Pudlak

The rank of a matrix has been used a number of times to prove lower

bounds on various types of complexity. In particular it has been used

for the size of monotone formulas and monotone span programs. In most

cases that this approach was used, there is not a single ...
more >>>

Zeev Dvir, Avi Wigderson

The main purpose of this work is to formally define monotone expanders and motivate their study with (known and new) connections to other graphs and to several computational and pseudorandomness problems. In particular we explain how monotone expanders of constant degree lead to:

(1) Constant degree dimension expanders in finite ...
more >>>

Joshua Grochow

In this short note, we show that the permanent is not complete for non-negative polynomials in $VNP_{\mathbb{R}}$ under monotone p-projections. In particular, we show that Hamilton Cycle polynomial and the cut polynomials are not monotone p-projections of the permanent. To prove this we introduce a new connection between monotone projections ... more >>>

Albert Atserias, Nicola Galesi, Ricard Gavaldà

We study the complexity of proving the Pigeon Hole

Principle (PHP) in a monotone variant of the Gentzen Calculus, also

known as Geometric Logic. We show that the standard encoding

of the PHP as a monotone sequent admits quasipolynomial-size proofs

in this system. This result is a consequence of ...
more >>>

Yang Li

In the paper, we introduce the concept of monotone rank, and using it as a powerful tool, we obtain several important and strong separation results in computational complexity.

\begin{itemize}

\item We show a super-exponential separation between monotone and non-monotone computation in the non-commutative model, and thus give the answer to ... more >>>

Albert Atserias, Nicola Galesi, Pavel Pudlak

We show that an LK proof of size $m$ of a monotone sequent (a sequent

that contains only formulas in the basis $\wedge,\vee$) can be turned

into a proof containing only monotone formulas of size $m^{O(\log m)}$

and with the number of proof lines polynomial in $m$. Also we show

... more >>>David García Soriano, Arie Matsliah, Sourav Chakraborty, Jop Briet

We study the problem of monotonicity testing over the hypercube. As

previously observed in several works, a positive answer to a natural question about routing

properties of the hypercube network would imply the existence of efficient

monotonicity testers. In particular, if any $\ell$ disjoint source-sink pairs

on the directed hypercube ...
more >>>

Chin Ho Lee, Emanuele Viola

We construct pseudorandom generators with improved seed length for

several classes of tests. First we consider the class of read-once

polynomials over GF(2) in $m$ variables. For error $\e$ we obtain seed

length $\tilde O (\log(m/\e)) \log(1/\e)$, where $\tilde O$ hides lower-order

terms. This is optimal up to the factor ...
more >>>

Olaf Beyersdorff, Judith Clymo

In their influential paper `Short proofs are narrow -- resolution made simple', Ben-Sasson and Wigderson introduced a crucial tool for proving lower bounds on the lengths of proofs in the resolution calculus. Over a decade later their technique for showing lower bounds on the size of proofs, by examining the ... more >>>

Itay Berman, Akshay Degwekar, Ron Rothblum, Prashant Nalini Vasudevan

Collision resistant hash functions are functions that shrink their input, but for which it is computationally infeasible to find a collision, namely two strings that hash to the same value (although collisions are abundant).

In this work we study multi-collision resistant hash functions (MCRH) a natural relaxation of collision resistant ... more >>>

Neeraj Kayal, Chandan Saha

In a multi-$k$-ic depth three circuit every variable appears in at most $k$ of the linear polynomials in every product gate of the circuit. This model is a natural generalization of multilinear depth three circuits that allows the formal degree of the circuit to exceed the number of underlying variables ... more >>>

Nir Bitansky, Omer Paneth, Yael Tauman Kalai

We study multi-collision-resistant hash functions --- a natural relaxation of collision-resistant hashing that only guarantees the intractability of finding many (rather than two) inputs that map to the same image. An appealing feature of such hash functions is that unlike their collision-resistant counterparts, they do not necessarily require a key. ... more >>>

Andrej Muchnik, Alexej Semenov

Ran Raz

An arithmetic formula is multi-linear if the polynomial computed

by each of its sub-formulas is multi-linear. We prove that any

multi-linear arithmetic formula for the permanent or the

determinant of an $n \times n$ matrix is of size super-polynomial

in $n$.

Kai-Min Chung, Xin Li, Xiaodi Wu

We study the problem of constructing multi-source extractors in the quantum setting, which extract almost uniform random bits against quantum side information collected from several initially independent classical random sources. This is a natural generalization of seeded randomness extraction against quantum side information and classical independent source extraction. With new ... more >>>

Nader Bshouty

In this paper we first show that Tester for an $F$-algebra $A$

and multilinear forms (see Testers and their Applications ECCC 2012) is equivalent to multilinear

algorithm for the product of elements in $A$

(see Algebraic

complexity theory. vol. 315, Springer-Verlag). Our

result is constructive in deterministic polynomial time. ...
more >>>

Scott Aaronson

Several researchers, including Leonid Levin, Gerard 't Hooft, and

Stephen Wolfram, have argued that quantum mechanics will break down

before the factoring of large numbers becomes possible. If this is

true, then there should be a natural "Sure/Shor separator" -- that is,

a set of quantum ...
more >>>

Ran Raz, Amir Yehudayoff

We study multilinear formulas, monotone arithmetic circuits, maximal-partition discrepancy, best-partition communication complexity and extractors constructions. We start by proving lower bounds for an explicit polynomial for the following three subclasses of syntactically multilinear arithmetic formulas over the field C and the set of variables {x1,...,xn}:

1. Noise-resistant. A syntactically multilinear ... more >>>

Ran Raz

An arithmetic circuit or formula is multilinear if the polynomial

computed at each of its wires is multilinear.

We give an explicit example for a polynomial $f(x_1,...,x_n)$,

with coefficients in $\{0,1\}$, such that over any field:

1) $f$ can be computed by a polynomial-size multilinear circuit

of depth $O(\log^2 ...
more >>>

Paul Beame, Trinh Huynh

We prove an n^{Omega(1)}/2^{O(k)} lower bound on the randomized k-party communication complexity of read-once depth 4 AC^0 functions in the number-on-forehead (NOF) model for O(log n) players. These are the first non-trivial lower bounds for general NOF multiparty communication complexity for any AC^0 function for omega(log log n) players. For ... more >>>

Paul Beame, Trinh Huynh

We prove n^Omega(1) lower bounds on the multiparty communication complexity of AC^0 functions in the number-on-forehead (NOF) model for up to Theta(log n) players. These are the first lower bounds for any AC^0 function for omega(loglog n) players. In particular we show that there are families of depth 3 read-once ... more >>>

Arkadev Chattopadhyay, Anil Ada

We extend the 'Generalized Discrepancy' technique suggested by Sherstov to the `Number on the Forehead' model of multiparty communication. This allows us to prove strong lower bounds of n^{\Omega(1)} on the communication needed by k players to compute the Disjointness function, provided $k$ is a constant. In general, our method ... more >>>

Irit Dinur, Prahladh Harsha, Rakesh Venkat, Henry Yuen

We investigate the value of parallel repetition of one-round games with any number of players $k\ge 2$. It has been an open question whether an analogue of Raz's Parallel Repetition Theorem holds for games with more than two players, i.e., whether the value of the repeated game decays exponentially ... more >>>

Claudia Bertram, Thomas Hofmeister

We consider the threshold circuit complexity of computing

the multiple product modulo m in threshold circuits.

Vijay Bhattiprolu, Mrinalkanti Ghosh, Venkatesan Guruswami, Euiwoong Lee, Madhur Tulsiani

We consider the following basic problem: given an $n$-variate degree-$d$ homogeneous polynomial $f$ with real coefficients, compute a unit vector $x \in \mathbb{R}^n$ that maximizes $|f(x)|$. Besides its fundamental nature, this problem arises in many diverse contexts ranging from tensor and operator norms to graph expansion to quantum information ... more >>>

Alexander Shen

Multisource information theory in Shannon setting is well known. In this article we try to develop its algorithmic information theory counterpart and use it as the general framework for many interesting questions about Kolmogorov complexity.

more >>>Andrew Drucker

In Direct Sum problems [KRW], one tries to show that for a given computational model, the complexity of computing a collection $F = \{f_1(x_1), \ldots f_l(x_l)\}$ of finite functions on independent inputs is approximately the sum of their individual complexities. In this paper, by contrast, we study the diversity of ... more >>>

Bin Fu

We investigate the complexity of integration and

derivative for multivariate polynomials in the standard computation

model. The integration is in the unit cube $[0,1]^d$ for a

multivariate polynomial, which has format

$f(x_1,\cdots,

x_d)=p_1(x_1,\cdots, x_d)p_2(x_1,\cdots, x_d)\cdots p_k(x_1,\cdots,

x_d)$,

where each $p_i(x_1,\cdots, x_d)=\sum_{j=1}^d q_j(x_j)$ with

all single variable polynomials $q_j(x_j)$ ...
more >>>

Adam Case, Jack H. Lutz

We define the lower and upper mutual dimensions $mdim(x:y)$ and $Mdim(x:y)$ between any two points $x$ and $y$ in Euclidean space. Intuitively these are the lower and upper densities of the algorithmic information shared by $x$ and $y$. We show that these quantities satisfy the main desiderata for a satisfactory ... more >>>

Lance Fortnow

We review the past ten years in computational complexity theory by

focusing on ten theorems that the author enjoyed the most. We use

each of the theorems as a springboard to discuss work done in

various areas of complexity theory.