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Papers
Near-tight Closure Bounds for the Littlestone and Threshold Dimensions
ALT 2021
Closure Properties for Private Classification and Online Prediction
COLT 2020
On the Equivalence between Online and Private Learnability beyond Binary Classification
NeurIPS 2020
Smoothed Analysis of Online and Differentially Private Learning
NeurIPS 2020
Towards a Combinatorial Characterization of Bounded-Memory Learning
NeurIPS 2020
Inapproximability of VC Dimension and Littlestone’s Dimension
COLT 2017
The Extended Littlestone’s Dimension for Learning with Mistakes and Abstentions
COLT 2016
Multiclass Learnability and the ERM Principle
JMLR 2015
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
COLT 2014
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
NeurIPS 2011