All reports by Author Venkatesan Guruswami:

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TR24-075
| 13th April 2024
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Venkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu#### Almost Optimal Time Lower Bound for Approximating Parameterized Clique, CSP, and More, under ETH

Revisions: 1

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TR24-062
| 5th April 2024
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Omar Alrabiah, Venkatesan Guruswami#### Near-Tight Bounds for 3-Query Locally Correctable Binary Linear Codes via Rainbow Cycles

Revisions: 1

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TR23-188
| 28th November 2023
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Venkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu#### Parameterized Inapproximability Hypothesis under ETH

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TR23-173
| 15th November 2023
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Louis Golowich, Venkatesan Guruswami#### Quantum Locally Recoverable Codes

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TR23-155
| 25th October 2023
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Venkatesan Guruswami, Xuandi Ren, Sai Sandeep#### Baby PIH: Parameterized Inapproximability of Min CSP

Revisions: 1

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TR22-156
| 15th November 2022
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Huck Bennett, Mahdi Cheraghchi, Venkatesan Guruswami, Joao Ribeiro#### Parameterized Inapproximability of the Minimum Distance Problem over all Fields and the Shortest Vector Problem in all $\ell_p$ Norms

Revisions: 2

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TR22-102
| 15th July 2022
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Venkatesan Guruswami, Xin Lyu, Xiuhan Wang#### Range Avoidance for Low-depth Circuits and Connections to Pseudorandomness

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TR22-101
| 15th July 2022
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Omar Alrabiah, Venkatesan Guruswami, Pravesh Kothari, Peter Manohar#### A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation

Revisions: 1

Venkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu

The Parameterized Inapproximability Hypothesis (PIH), which is an analog of the PCP theorem in parameterized complexity, asserts that, there is a constant $\varepsilon> 0$ such that for any computable function $f:\mathbb{N}\to\mathbb{N}$, no $f(k)\cdot n^{O(1)}$-time algorithm can, on input a $k$-variable CSP instance with domain size $n$, find an assignment satisfying ... more >>>

Omar Alrabiah, Venkatesan Guruswami

We prove that a binary linear code of block length $n$ that is locally correctable with $3$ queries against a fraction $\delta > 0$ of adversarial errors must have dimension at most $O_{\delta}(\log^2 n \cdot \log \log n)$. This is almost tight in view of quadratic Reed-Muller codes being a ... more >>>

Venkatesan Guruswami, Bingkai Lin, Xuandi Ren, Yican Sun, Kewen Wu

The Parameterized Inapproximability Hypothesis (PIH) asserts that no fixed parameter tractable (FPT) algorithm can distinguish a satisfiable CSP instance, parameterized by the number of variables, from one where every assignment fails to satisfy an $\varepsilon$ fraction of constraints for some absolute constant $\varepsilon > 0$. PIH plays the role of ... more >>>

Louis Golowich, Venkatesan Guruswami

Classical locally recoverable codes, which permit highly efficient recovery from localized errors as well as global recovery from larger errors, provide some of the most useful codes for distributed data storage in practice. In this paper, we initiate the study of quantum locally recoverable codes (qLRCs). In the long ... more >>>

Venkatesan Guruswami, Xuandi Ren, Sai Sandeep

The Parameterized Inapproximability Hypothesis (PIH) is the analog of the PCP theorem in the world of parameterized complexity. It asserts that no FPT algorithm can distinguish a satisfiable 2CSP instance from one which is only $(1-\varepsilon)$-satisfiable (where the parameter is the number of variables) for some constant $0<\varepsilon<1$.

We ... more >>>

Huck Bennett, Mahdi Cheraghchi, Venkatesan Guruswami, Joao Ribeiro

We prove that the Minimum Distance Problem (MDP) on linear codes over any fixed finite field and parameterized by the input distance bound is W[1]-hard to approximate within any constant factor. We also prove analogous results for the parameterized Shortest Vector Problem (SVP) on integer lattices. Specifically, we prove that ... more >>>

Venkatesan Guruswami, Xin Lyu, Xiuhan Wang

In the range avoidance problem, the input is a multi-output Boolean circuit with more outputs than inputs, and the goal is to find a string outside its range (which is guaranteed to exist). We show that well-known explicit construction questions such as finding binary linear codes achieving the Gilbert-Varshamov bound ... more >>>

Omar Alrabiah, Venkatesan Guruswami, Pravesh Kothari, Peter Manohar

A code $C \colon \{0,1\}^k \to \{0,1\}^n$ is a $q$-locally decodable code ($q$-LDC) if one can recover any chosen bit $b_i$ of the message $b \in \{0,1\}^k$ with good confidence by randomly querying the encoding $x = C(b)$ on at most $q$ coordinates. Existing constructions of $2$-LDCs achieve $n = ... more >>>