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Abhishek Shetty
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2020 – today
- 2022
- [i10]Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang:
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. CoRR abs/2202.08549 (2022) - 2021
- [c7]Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett, Abhishek Shetty:
Fractional Pseudorandom Generators from Any Fourier Level. Computational Complexity Conference 2021: 10:1-10:24 - [c6]Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis with Adaptive Adversaries. FOCS 2021: 942-953 - [i9]Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis with Adaptive Adversaries. CoRR abs/2102.08446 (2021) - [i8]Samuel B. Hopkins, Prasad Raghavendra, Abhishek Shetty:
Matrix Discrepancy from Quantum Communication. CoRR abs/2110.10099 (2021) - [i7]Abhishek Shetty, Raaz Dwivedi, Lester Mackey:
Distribution Compression in Near-linear Time. CoRR abs/2111.07941 (2021) - 2020
- [c5]Abhishek Panigrahi, Abhishek Shetty, Navin Goyal:
Effect of Activation Functions on the Training of Overparametrized Neural Nets. ICLR 2020 - [c4]Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis of Online and Differentially Private Learning. NeurIPS 2020 - [i6]Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis of Online and Differentially Private Learning. CoRR abs/2006.10129 (2020) - [i5]Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett, Abhishek Shetty:
Fractional Pseudorandom Generators from Any Fourier Level. CoRR abs/2008.01316 (2020) - [i4]Eshan Chattopadhyay, Jason Gaitonde, Abhishek Shetty:
Fractional Pseudorandom Generators from the $k$th Fourier Level. Electron. Colloquium Comput. Complex. 27: 121 (2020)
2010 – 2019
- 2019
- [c3]Sudeep Raja Putta, Abhishek Shetty:
Exponential Weights on the Hypercube in Polynomial Time. AISTATS 2019: 1911-1919 - [c2]Navin Goyal, Abhishek Shetty:
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature. COLT 2019: 1519-1561 - [c1]Navin Goyal, Abhishek Shetty:
Non-Gaussian component analysis using entropy methods. STOC 2019: 840-851 - [i3]Navin Goyal, Abhishek Shetty:
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature. CoRR abs/1907.10531 (2019) - [i2]Abhishek Panigrahi, Abhishek Shetty, Navin Goyal:
Effect of Activation Functions on the Training of Overparametrized Neural Nets. CoRR abs/1908.05660 (2019) - 2018
- [i1]Navin Goyal, Abhishek Shetty:
Non-Gaussian Component Analysis using Entropy Methods. CoRR abs/1807.04936 (2018)
Coauthor Index

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