95 citations · 273 across the 34 of their papers we have counts for
35 papers
Meta-Learning Adversarial Bandit Algorithms
Mikhail Khodak, Ilya Osadchiy, Keegan Harris +4
We study online meta-learning with bandit feedback, with the goal of improving performance across multiple tasks if they are similar according to some natural similarity measure. A…
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Dror Freirich, Tomer Michaeli, Ron Meir
Many practical settings call for the reconstruction of temporal signals from corrupted or missing data. Classic examples include decoding, tracking, signal enhancement and denoisin…
Emergent Quantized Communication
Boaz Carmeli, Ron Meir, Yonatan Belinkov
The field of emergent communication aims to understand the characteristics of communication as it emerges from artificial agents solving tasks that require information exchange. Co…
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit, Baruch Epstein, Shay Moran +1
We present a PAC-Bayes-style generalization bound which enables the replacement of the KL-divergence with a variety of Integral Probability Metrics (IPM). We provide instances of t…
Online Meta-Learning in Adversarial Multi-Armed Bandits
Ilya Osadchiy, Kfir Y. Levy, Ron Meir
We study meta-learning for adversarial multi-armed bandits. We consider the online-within-online setup, in which a player (learner) encounters a sequence of multi-armed bandit epis…
Enhancing Causal Estimation through Unlabeled Offline Data
Ron Teichner, Ron Meir, Danny Eitan
Consider a situation where a new patient arrives in the Intensive Care Unit (ICU) and is monitored by multiple sensors. We wish to assess relevant unmeasured physiological variable…