Pravesh Kothari

Affiliations:
  • Princeton University, Department of Computer Science, NJ, USA (since 2024)
  • Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA (2019-2023)
  • Princeton University, Institute for Advanced Study, NJ, USA (2016-2019)
  • University of Texas at Austin, TX, USA (PhD 2016)


According to our database1, Pravesh Kothari authored at least 83 papers between 2010 and 2024.

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Bibliography

2024
Small Even Covers, Locally Decodable Codes and Restricted Subgraphs of Edge-Colored Kikuchi Graphs.
CoRR, 2024

New SDP Roundings and Certifiable Approximation for Cubic Optimization.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023
An Exponential Lower Bound for Linear 3-Query Locally Correctable Codes.
Electron. Colloquium Comput. Complex., 2023

Public-Key Encryption, Local Pseudorandom Generators, and the Low-Degree Method.
Electron. Colloquium Comput. Complex., 2023

A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Algorithms Approaching the Threshold for Semi-random Planted Clique.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Privately Estimating a Gaussian: Efficient, Robust, and Optimal.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

A simple and sharper proof of the hypergraph Moore bound.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Ellipsoid Fitting up to a Constant.
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

Approximating Max-Cut on Bounded Degree Graphs: Tighter Analysis of the FKL Algorithm.
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

Beyond Moments: Robustly Learning Affine Transformations with Asymptotically Optimal Error.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Efficient Algorithms for Semirandom Planted CSPs at the Refutation Threshold.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Is Planted Coloring Easier than Planted Clique?
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Approximating Rectangles by Juntas and Weakly Exponential Lower Bounds for LP Relaxations of CSPs.
SIAM J. Comput., 2022

A Near-Cubic Lower Bound for 3-Query Locally Decodable Codes from Semirandom CSP Refutation.
Electron. Colloquium Comput. Complex., 2022

The Price of Strategyproofing Peer Assessment.
CoRR, 2022

List-decodable covariance estimation.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Algorithms and certificates for Boolean CSP refutation: smoothed is no harder than random.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Robustly learning mixtures of <i>k</i> arbitrary Gaussians.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Algorithmic Thresholds for Refuting Random Polynomial Systems.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Polynomial-Time Power-Sum Decomposition of Polynomials.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Private Robust Estimation by Stabilizing Convex Relaxations.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Bypassing the XOR Trick: Stronger Certificates for Hypergraph Clique Number.
Proceedings of the Approximation, 2022

Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021
Playing unique games on certified small-set expanders.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

List-Decodable Subspace Recovery: Dimension Independent Error in Polynomial Time.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Strongly refuting all semi-random Boolean CSPs.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

A Stress-Free Sum-Of-Squares Lower Bound for Coloring.
Proceedings of the 36th Computational Complexity Conference, 2021

Memory-Sample Lower Bounds for Learning Parity with Noise.
Proceedings of the Approximation, 2021

2020
Tight bounds on <i>ℓ</i><sub>1</sub> approximation and learning of self-bounding functions.
Theor. Comput. Sci., 2020

Robustly Learning Mixtures of k Arbitrary Gaussians.
CoRR, 2020

Outlier-Robust Clustering of Non-Spherical Mixtures.
CoRR, 2020

List-Decodable Subspace Recovery via Sum-of-Squares.
CoRR, 2020

Sparse PCA: Algorithms, Adversarial Perturbations and Certificates.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

Outlier-Robust Clustering of Gaussians and Other Non-Spherical Mixtures.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

Time-Space Tradeoffs for Distinguishing Distributions and Applications to Security of Goldreich's PRG.
Proceedings of the Approximation, 2020

On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Semialgebraic Proofs and Efficient Algorithm Design.
Electron. Colloquium Comput. Complex., 2019

Approximation Schemes for a Buyer with Independent Items via Symmetries.
CoRR, 2019

List-decodable Linear Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SOS Lower Bounds with Hard Constraints: Think Global, Act Local.
Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019

Approximation Schemes for a Unit-Demand Buyer with Independent Items via Symmetries.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

The Social Network Effect on Surprise in Elections.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
On the Integrality Gap of Degree-4 Sum of Squares for Planted Clique.
ACM Trans. Algorithms, 2018

Sum-of-Squares Meets Program Obfuscation, Revisited.
IACR Cryptol. ePrint Arch., 2018

Sum-of-Squares meets Nash: Optimal Lower Bounds for Finding any Equilibrium.
Electron. Colloquium Comput. Complex., 2018

Small-Set Expansion in Shortcode Graph and the 2-to-2 Conjecture.
Electron. Colloquium Comput. Complex., 2018

Surprise in Elections.
CoRR, 2018

Communication with Contextual Uncertainty.
Comput. Complex., 2018

Robust moment estimation and improved clustering via sum of squares.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Sum-of-squares meets nash: lower bounds for finding any equilibrium.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Improper Learning by Refuting.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Efficient Algorithms for Outlier-Robust Regression.
Proceedings of the Conference On Learning Theory, 2018

An Analysis of the t-SNE Algorithm for Data Visualization.
Proceedings of the Conference On Learning Theory, 2018

2017
Quantum entanglement, sum of squares, and the log rank conjecture.
Electron. Colloquium Comput. Complex., 2017

Limits on Low-Degree Pseudorandom Generators (Or: Sum-of-Squares Meets Program Obfuscation).
Electron. Colloquium Comput. Complex., 2017

Outlier-robust moment-estimation via sum-of-squares.
CoRR, 2017

Better Agnostic Clustering Via Relaxed Tensor Norms.
CoRR, 2017

Learning by Refuting.
CoRR, 2017

Sum of squares lower bounds for refuting any CSP.
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

The Power of Sum-of-Squares for Detecting Hidden Structures.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Tight Bounds on ℓ<sub>1</sub> Approximation and Learning of Self-Bounding Functions.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016
A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem.
Electron. Colloquium Comput. Complex., 2016

2015
Agnostic learning of disjunctions on symmetric distributions.
J. Mach. Learn. Res., 2015

Communication with Contextual Uncertainty.
Electron. Colloquium Comput. Complex., 2015

SoS and Planted Clique: Tight Analysis of MPW Moments at all Degrees and an Optimal Lower Bound at Degree Four.
CoRR, 2015

Almost Optimal Pseudorandom Generators for Spherical Caps: Extended Abstract.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Sum of Squares Lower Bounds from Pairwise Independence.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

2014
Embedding Hard Learning Problems into Gaussian Space.
Electron. Colloquium Comput. Complex., 2014

Almost Optimal Pseudorandom Generators for Spherical Caps.
CoRR, 2014

Nearly Tight Bounds on ℓ<sub>1</sub> Approximation of Self-Bounding Functions.
CoRR, 2014

Testing Surface Area.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Provable Submodular Minimization using Wolfe's Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Coverage Functions and Private Release of Marginals.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Constructing Hard Functions from Learning Algorithms.
Electron. Colloquium Comput. Complex., 2013

Learning Coverage Functions
CoRR, 2013

Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees.
Proceedings of the COLT 2013, 2013

Constructing Hard Functions Using Learning Algorithms.
Proceedings of the 28th Conference on Computational Complexity, 2013

2012
Differentially Private Online Learning.
Proceedings of the COLT 2012, 2012

An Explicit VC-Theorem for Low-Degree Polynomials.
Electron. Colloquium Comput. Complex., 2012

2011
Submodular Functions Are Noise Stable.
Electron. Colloquium Comput. Complex., 2011

2010
A randomized scheduler with probabilistic guarantees of finding bugs.
Proceedings of the 15th International Conference on Architectural Support for Programming Languages and Operating Systems, 2010


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