Papers
357 papers found
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Remi Munos
No-Regret Learning in Bayesian Games
Jason Hartline, Vasilis Syrgkanis, Eva Tardos
Regret-Based Pruning in Extensive-Form Games
Noam Brown, Tuomas Sandholm
Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A Goetz, E. J. Chichilnisky
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée, Claire Vernade, Olivier Cappe
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern et al.
Bayesian GAN
Yunus Saatci, Andrew G Wilson
Learning with Bandit Feedback in Potential Games
Amélie Heliou, Johanne Cohen, Panayotis Mertikopoulos
Rotting Bandits
Nir Levine, Koby Crammer, Shie Mannor
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Minimal Exploration in Structured Stochastic Bandits
Richard Combes, Stefan Magureanu, Alexandre Proutiere
Interactive Submodular Bandit
Lin Chen, Andreas Krause, Amin Karbasi
Factored Bandits
Julian Zimmert, Yevgeny Seldin
Spectral Signatures in Backdoor Attacks
Brandon Tran, Jerry Li, Aleksander Madry
Bandit Learning in Concave N-Person Games
Mario Bravo, David Leslie, Panayotis Mertikopoulos
Banach Wasserstein GAN
Jonas Adler, Sebastian Lunz
On the Local Hessian in Back-propagation
Huishuai Zhang, Wei Chen, Tie-Yan Liu
Structural Causal Bandits: Where to Intervene?
Sanghack Lee, Elias Bareinboim
PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj
Categorized Bandits
Matthieu Jedor, Vianney Perchet, Jonathan Louedec
Blocking Bandits
Soumya Basu, Rajat Sen, Sujay Sanghavi et al.
Recovering Bandits
Ciara Pike-Burke, Steffen Grunewalder
Untangling in Invariant Speech Recognition
Cory Stephenson, Jenelle Feather, Suchismita Padhy et al.
Input-Aware Dynamic Backdoor Attack
Tuan Anh Nguyen, Anh Tran
Delay and Cooperation in Nonstochastic Linear Bandits
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.