Shetty, Abhishek

17 publications

COLT 2025 Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks Omar Montasser, Abhishek Shetty, Nikita Zhivotovskiy
ICML 2025 Low-Rank Thinning Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
COLT 2025 The Space Complexity of Learning-Unlearning Algorithms (extended Abstract) Yeshwanth Cherapanamjeri, Sumegba Garg, Nived Rajaraman, Ayush Sekhari, Abhishek Shetty
COLT 2024 On the Performance of Empirical Risk Minimization with Smoothed Data Adam Block, Alexander Rakhlin, Abhishek Shetty
NeurIPS 2024 Oracle-Efficient Differentially Private Learning with Public Data Adam Block, Mark Bun, Rathin Desai, Abhishek Shetty, Zhiwei Steven Wu
NeurIPS 2024 Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan
NeurIPS 2023 Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty
NeurIPS 2023 Progressive Ensemble Distillation: Building Ensembles for Efficient Inference Don Dennis, Abhishek Shetty, Anish Prasad Sevekari, Kazuhito Koishida, Virginia Smith
ICMLW 2023 Progressive Knowledge Distillation: Balancing Inference Latency and Accuracy at Runtime Don Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith
NeurIPS 2023 Smoothed Analysis of Sequential Probability Assignment Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty
COLT 2023 The One-Inclusion Graph Algorithm Is Not Always Optimal Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Abhishek Shetty, Nikita Zhivotovskiy
ICLR 2022 Distribution Compression in Near-Linear Time Abhishek Shetty, Raaz Dwivedi, Lester Mackey
NeurIPS 2022 Oracle-Efficient Online Learning for Smoothed Adversaries Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
ICLR 2020 Effect of Activation Functions on the Training of Overparametrized Neural Nets Abhishek Panigrahi, Abhishek Shetty, Navin Goyal
NeurIPS 2020 Smoothed Analysis of Online and Differentially Private Learning Nika Haghtalab, Tim Roughgarden, Abhishek Shetty
AISTATS 2019 Exponential Weights on the Hypercube in Polynomial Time Sudeep Raja Putta, Abhishek Shetty
COLT 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature Navin Goyal, Abhishek Shetty