Abhishek Shetty

According to our database1, Abhishek Shetty authored at least 18 papers between 2019 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Smooth Nash Equilibria: Algorithms and Complexity.
CoRR, 2023

Adversarial Resilience in Sequential Prediction via Abstention.
CoRR, 2023

Optimal PAC Bounds Without Uniform Convergence.
CoRR, 2023

Smoothed Analysis of Sequential Probability Assignment.
CoRR, 2023

Progressive Knowledge Distillation: Building Ensembles for Efficient Inference.
CoRR, 2023

The One-Inclusion Graph Algorithm is not Always Optimal.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries.
CoRR, 2022

Matrix discrepancy from Quantum communication.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Oracle-Efficient Online Learning for Smoothed Adversaries.
NeurIPS, 2022

Distribution Compression in Near-Linear Time.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Smoothed Analysis with Adaptive Adversaries.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Fractional Pseudorandom Generators from Any Fourier Level.
Proceedings of the 36th Computational Complexity Conference, 2021

Fractional Pseudorandom Generators from the $k$th Fourier Level.
Electron. Colloquium Comput. Complex., 2020

Smoothed Analysis of Online and Differentially Private Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Effect of Activation Functions on the Training of Overparametrized Neural Nets.
Proceedings of the 8th International Conference on Learning Representations, 2020

Non-Gaussian component analysis using entropy methods.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature.
Proceedings of the Conference on Learning Theory, 2019

Exponential Weights on the Hypercube in Polynomial Time.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019