activity
20172020
most citedLower Bounds for Linear Decision Lists

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CC2020

Tight Chang's-lemma-type bounds for Boolean functions

Sourav Chakraborty, Nikhil S. Mande, Rajat Mittal +3

Chang's lemma (Duke Mathematical Journal, 2002) is a classical result with applications across several areas in mathematics and computer science. For a Boolean function that ta…

cs.CC2020

On parity decision trees for Fourier-sparse Boolean functions

Nikhil S. Mande, Swagato Sanyal

We study parity decision trees for Boolean functions. The motivation of our study is the log-rank conjecture for XOR functions and its connection to Fourier analysis and parity dec…

quant-ph2019

Quantum Query-to-Communication Simulation Needs a Logarithmic Overhead

Sourav Chakraborty, Arkadev Chattopadhyay, Nikhil S. Mande +1

Buhrman, Cleve and Wigderson (STOC'98) observed that for every Boolean function and the two-party bounded-erro…

cs.CC2019

Approximate degree, secret sharing, and concentration phenomena

Andrej Bogdanov, Nikhil S. Mande, Justin Thaler +1

The -approximate degree of a Boolean function is the least degree of a real-valued polynomial that approximates pointwise to error . The approximate degree…

cs.CC2019

Sign-Rank Can Increase Under Intersection

Mark Bun, Nikhil S. Mande, Justin Thaler

The communication class is a communication analog of the Turing Machine complexity class . It is characterized by a matrix-analytic complexi…

cs.CC20193 cited

Lower Bounds for Linear Decision Lists

Arkadev Chattopadhyay, Meena Mahajan, Nikhil Mande +1

We demonstrate a lower bound technique for linear decision lists, which are decision lists where the queries are arbitrary linear threshold functions. We use this technique to prov…