Abhishek Shetty
22 papers · 2019–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Abhishek Shetty?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Adam Block, Alexander Rakhlin, Mark Bun
5 papers
· 2024–2026
· COLT, NeurIPS
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Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness
COLT 2026
Learning with Simulators: No Regret in a Computationally Bounded World
COLT 2026
Partition Function Estimation under Bounded f-Divergence
COLT 2026
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
Oracle-Efficient Differentially Private Learning with Public Data
NeurIPS 2024
4 papers whose co-authors appear nowhere else under this name
Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise
COLT 2026
Learning with Monotone Adversarial Corruptions
ALT 2026
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference
NeurIPS 2023
Exponential Weights on the Hypercube in Polynomial Time
AISTATS 2019