Abhishek Shetty
17 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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(22)
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Keyword Pioneer
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Century Club
(16)
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Keyword Collector
(51)
Conferences
NIPS (7)
COLT (5)
ICLR (2)
AISTATS (1)
ALT (1)
ICML (1)
Top co-authors
Research topics
Keywords
online learning
(4)
smoothed analysis
(3)
vc dimension
(3)
regret bound
(3)
adversarial learning
(2)
differential privacy
(2)
convex optimization
(1)
computational efficiency
(1)
ensemble learning
(1)
efficient inference
(1)
polynomial regression
(1)
empirical risk minimization
(1)
sample complexity
(1)
random walk
(1)
distribution shift
(1)
knowledge distillation
(1)
simulated annealing
(1)
bandit feedback
(1)
uniform convergence
(1)
transductive learning
(1)
Papers
Learning with Monotone Adversarial Corruptions
ALT 2026
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks
COLT 2025
The Space Complexity of Learning-Unlearning Algorithms (extended abstract)
COLT 2025
Low-Rank Thinning
ICML 2025
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
NIPS 2024
Oracle-Efficient Differentially Private Learning with Public Data
NIPS 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
Smoothed Analysis of Sequential Probability Assignment
NIPS 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
NIPS 2023
The One-Inclusion Graph Algorithm is not Always Optimal
COLT 2023
Adversarial Resilience in Sequential Prediction via Abstention
NIPS 2023
Distribution Compression in Near-Linear Time
ICLR 2022
Oracle-Efficient Online Learning for Smoothed Adversaries
NIPS 2022
Smoothed Analysis of Online and Differentially Private Learning
NIPS 2020
Effect of Activation Functions on the Training of Overparametrized Neural Nets
ICLR 2020
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature
COLT 2019
Exponential Weights on the Hypercube in Polynomial Time
AISTATS 2019