6 citations · 18 across the 7 of their papers we have counts for
6 papers
Offline Multi-task Transfer RL with Representational Penalization
Avinandan Bose, Simon Shaolei Du, Maryam Fazel
We study the problem of representation transfer in offline Reinforcement Learning (RL), where a learner has access to episodic data from a number of source tasks collected a priori…
No-Regret Online Prediction with Strategic Experts
Omid Sadeghi, Maryam Fazel
We study a generalization of the online binary prediction with expert advice framework where at each round, the learner is allowed to pick experts from a pool of expe…
Stochastic Contextual Bandits with Long Horizon Rewards
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti +2
The growing interest in complex decision-making and language modeling problems highlights the importance of sample-efficient learning over very long horizons. This work takes a ste…
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy +2
Learning problems commonly exhibit an interesting feedback mechanism wherein the population data reacts to competing decision makers' actions. This paper formulates a new game theo…
Worst Case Competitive Analysis of Online Algorithms for Conic Optimization
Reza Eghbali, Maryam Fazel
Online optimization covers problems such as online resource allocation, online bipartite matching, adwords (a central problem in e-commerce and advertising), and adwords with separ…
Exponentiated Subgradient Algorithm for Online Optimization under the Random Permutation Model
Reza Eghbali, Jon Swenson, Maryam Fazel
Online optimization problems arise in many resource allocation tasks, where the future demands for each resource and the associated utility functions change over time and are not k…