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20132023
most citedAn Analysis of the t-SNE Algorithm for Data Visualization

87 citations · 305 across the 39 of their papers we have counts for

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18 papers · 1 filter

cs.CC2023

Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold

Venkatesan Guruswami, Jun-Ting Hsieh, Pravesh K. Kothari +1

We present an efficient algorithm to solve semirandom planted instances of any Boolean constraint satisfaction problem (CSP). The semirandom model is a hybrid between worst-case an…

cs.CC2023

A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation

Omar Alrabiah, Venkatesan Guruswami, Pravesh K. Kothari +1

A code is a -locally decodable code (-LDC) if one can recover any chosen bit of the message with good confidence by…

cs.CC2023★ 1 cited

Is Planted Coloring Easier than Planted Clique?

Pravesh K. Kothari, Santosh S. Vempala, Alexander S. Wein +1

We study the computational complexity of two related problems: recovering a planted -coloring in , and finding efficiently verifiable witnesses of non--colorability…

cs.CC2021

Algorithmic Thresholds for Refuting Random Polynomial Systems

Jun-Ting Hsieh, Pravesh K. Kothari

Consider a system of polynomial equations of degree in -dimensional variable such that each coefficient of every…

cs.CC2021★ 1 cited

Algorithms and Certificates for Boolean CSP Refutation: "Smoothed is no harder than Random"

Venkatesan Guruswami, Pravesh K. Kothari, Peter Manohar

We present an algorithm for strongly refuting smoothed instances of all Boolean CSPs. The smoothed model is a hybrid between worst and average-case input models, where the input is…

cs.CC2021

A Stress-Free Sum-of-Squares Lower Bound for Coloring

Pravesh K. Kothari, Peter Manohar

We prove that with high probability over the choice of a random graph from the Erdős-Rényi distribution , a natural -time, degree $O(\var…