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09/04/2023
Robust Online Classification: From Estimation to Denoising
We study online classification in the presence of noisy labels. The nois...
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01/31/2023
Online Learning in Dynamically Changing Environments
We study the problem of online learning and online regret minimization w...
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09/09/2022
Expected Worst Case Regret via Stochastic Sequential Covering
We study the problem of sequential prediction and online minimax regret ...
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05/07/2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
We study the sequential general online regression, known also as the seq...
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01/11/2020
Prediction with eventual almost sure guarantees
We study the problem of predicting the properties of a probabilistic mod...
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12/10/2019
Almost Uniform Sampling From Neural Networks
Given a length n sample from R^d and a neural network with a fixed archi...
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02/01/2018
Redundancy of unbounded memory Markov classes with continuity conditions
We study the redundancy of universally compressing strings X_1,..., X_n ...
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02/01/2018
