Papers
357 papers found
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao, Guanghui Wang, Lijun Zhang et al.
Competing Bandits in Matching Markets
Lydia T. Liu, Horia Mania, Michael Jordan
Naive Feature Selection: Sparsity in Naive Bayes
Armin Askari, Alexandre d’Aspremont, Laurent El Ghaoui
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, Manzil Zaheer, Csaba Szepesvari et al.
Bandit optimisation of functions in the Matérn kernel RKHS
David Janz, David Burt, Javier Gonzalez
Adaptive Exploration in Linear Contextual Bandit
Botao Hao, Tor Lattimore, Csaba Szepesvari
On the Role of Data in PAC-Bayes Bounds
Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh et al.
Training a Single Bandit Arm
Eren Ozbay, Vijay Kamble
Random Effect Bandits
Rong Zhu, Branislav Kveton
On Margins and Derandomisation in PAC-Bayes
Felix Biggs, Benjamin Guedj
Pulling back information geometry
Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin et al.
Pareto Optimal Model Selection in Linear Bandits
Yinglun Zhu, Robert Nowak
Meta-Uncertainty in Bayesian Model Comparison
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Delayed Feedback in Generalised Linear Bandits Revisited
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Model-Based Uncertainty in Value Functions
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska et al.
Pure Exploration in Bandits with Linear Constraints
Emil Carlsson, Debabrota Basu, Fredrik Johansson et al.
Meta Learning in Bandits within shared affine Subspaces
Steven Bilaj, Sofien Dhouib, Setareh Maghsudi
Autoregressive Bandits
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran et al.
Online learning in bandits with predicted context
Yongyi Guo, Ziping Xu, Susan Murphy
Dissimilarity Bandits
Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
How Good is a Single Basin?
Kai Lion, Lorenzo Noci, Thomas Hofmann et al.
Sparsity, variance and curvature in multi-armed bandits
Sébastien Bubeck, Michael Cohen, Yuanzhi Li
Instrument-Armed Bandits
Nathan Kallus
PAC Battling Bandits in the Plackett-Luce Model
Aadirupa Saha, Aditya Gopalan
Max-Quantile Grouped Infinite-Arm Bandits
Ivan Lau, Yan Hao Ling, Mayank Shrivastava et al.