Search Results for author: Zhilei Wang

Found 5 papers, 0 papers with code

A New Approach to Drifting Games, Based on Asymptotically Optimal Potentials

no code implementations23 Jul 2022 Zhilei Wang, Robert V. Kohn

The proofs of our potential-based upper bounds are elementary, using little more than Taylor expansion.

online learning

Fast Rates in Pool-Based Batch Active Learning

no code implementations11 Feb 2022 Claudio Gentile, Zhilei Wang, Tong Zhang

We consider a batch active learning scenario where the learner adaptively issues batches of points to a labeling oracle.

Active Learning Informativeness

Neural Active Learning with Performance Guarantees

no code implementations NeurIPS 2021 Pranjal Awasthi, Christoph Dann, Claudio Gentile, Ayush Sekhari, Zhilei Wang

We investigate the problem of active learning in the streaming setting in non-parametric regimes, where the labels are stochastically generated from a class of functions on which we make no assumptions whatsoever.

Active Learning Model Selection

New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice

no code implementations5 Dec 2019 Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang

To obtain explicit bounds, we construct potentials for the geometric version from potentials used for the fixed horizon version of the problem.

New Potential-Based Bounds for Prediction with Expert Advice

no code implementations5 Nov 2019 Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang

This work addresses the classic machine learning problem of online prediction with expert advice.

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