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Electronic Colloquium on Computational Complexity

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REPORTS > AUTHORS > S VENKITESH:
All reports by Author S Venkitesh:

TR21-098 | 7th July 2021
Srikanth Srinivasan, S Venkitesh

On the Probabilistic Degree of an n-variate Boolean Function

Nisan and Szegedy (CC 1994) showed that any Boolean function f:\{0,1\}^n\to\{0,1\} that depends on all its input variables, when represented as a real-valued multivariate polynomial P(x_1,\ldots,x_n), has degree at least \log n - O(\log \log n). This was improved to a tight (\log n - O(1)) bound by Chiarelli, Hatami ... more >>>


TR19-138 | 6th October 2019
Srikanth Srinivasan, Utkarsh Tripathi, S Venkitesh

On the Probabilistic Degrees of Symmetric Boolean functions

The probabilistic degree of a Boolean function f:\{0,1\}^n\rightarrow \{0,1\} is defined to be the smallest d such that there is a random polynomial \mathbf{P} of degree at most d that agrees with f at each point with high probability. Introduced by Razborov (1987), upper and lower bounds on probabilistic degrees ... more >>>


TR19-109 | 21st August 2019
Srikanth Srinivasan, Utkarsh Tripathi, S Venkitesh

Decoding Downset codes over a finite grid

In a recent paper, Kim and Kopparty (Theory of Computing, 2017) gave a deterministic algorithm for the unique decoding problem for polynomials of bounded total degree over a general grid S_1\times\cdots \times S_m. We show that their algorithm can be adapted to solve the unique decoding problem for the general ... more >>>


TR18-157 | 10th September 2018
Nutan Limaye, Karteek Sreenivasiah, Srikanth Srinivasan, Utkarsh Tripathi, S Venkitesh

The Coin Problem in Constant Depth: Sample Complexity and Parity gates

Revisions: 2

The \delta-Coin Problem is the computational problem of distinguishing between coins that are heads with probability (1+\delta)/2 or (1-\delta)/2, where \delta is a parameter that is going to 0. We study the complexity of this problem in the model of constant-depth Boolean circuits and prove the following results.

1. Upper ... more >>>




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