4 citations · 11 across the 5 of their papers we have counts for
5 papers
A New Approach to Drifting Games, Based on Asymptotically Optimal Potentials
Zhilei Wang, Robert V. Kohn
We develop a new approach to drifting games, a class of two-person games with many applications to boosting and online learning settings. Our approach involves (a) guessing an asym…
Fast Rates in Pool-Based Batch Active Learning
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. Sampling labels in batches is highly desirable in practice…
Neural Active Learning with Performance Guarantees
Pranjal Awasthi, Christoph Dann, Claudio Gentile +2
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 w…
New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice
Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang
This work addresses the classic machine learning problem of online prediction with expert advice. A new potential-based framework for the fixed horizon version of this problem has…
New Potential-Based Bounds for Prediction with Expert Advice
Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang
This work addresses the classic machine learning problem of online prediction with expert advice. We consider the finite-horizon version of this zero-sum, two-person game. Using ve…