Papers

357 papers found
Bandit Linear Control
Asaf Cassel, Tomer Koren
2020 NIPS
Inference for Batched Bandits
Kelly Zhang, Lucas Janson, Susan Murphy
2020 NIPS
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra, Alexandre Proutiere
2020 NIPS
Model Selection in Contextual Stochastic Bandit Problems
Aldo Pacchiano, My Phan, Yasin Abbasi Yadkori et al.
2020 NIPS
Adapting to Misspecification in Contextual Bandits
Dylan J Foster, Claudio Gentile, Mehryar Mohri et al.
2020 NIPS
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu et al.
2020 NIPS
2020 NIPS
Pruning Filter in Filter
Fanxu Meng, Hao Cheng, Ke Li et al.
2020 NIPS
Choice Bandits
Arpit Agarwal, Nicholas Johnson, Shivani Agarwal
2020 NIPS
Finding All $\epsilon$-Good Arms in Stochastic Bandits
Blake Mason, Lalit Jain, Ardhendu Tripathy et al.
2020 NIPS
A Gang of Adversarial Bandits
Mark Herbster, Stephen Pasteris, Fabio Vitale et al.
2021 NIPS
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan, Alexander Wei, Yixin Wang et al.
2021 NIPS
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang et al.
2021 NIPS
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
2021 NIPS
Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu et al.
2021 NIPS
Transformer in Transformer
Kai Han, An Xiao, Enhua Wu et al.
2021 NIPS
Bandit Phase Retrieval
Tor Lattimore, Botao Hao
2021 NIPS
Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang, Liu Leqi, Zachary Lipton et al.
2021 NIPS
No Regrets for Learning the Prior in Bandits
Soumya Basu, Branislav Kveton, Manzil Zaheer et al.
2021 NIPS
Post-Contextual-Bandit Inference
Aurelien Bibaut, Maria Dimakopoulou, Nathan Kallus et al.
2021 NIPS
Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet, Saurabh Amin, Patrick Jaillet
2022 NIPS
Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2022 NIPS
Matching in Multi-arm Bandit with Collision
YiRui Zhang, Siwei Wang, Zhixuan Fang
2022 NIPS
Learning in Congestion Games with Bandit Feedback
Qiwen Cui, Zhihan Xiong, Maryam Fazel et al.
2022 NIPS
Near-Optimal Collaborative Learning in Bandits
Clémence Réda, Sattar Vakili, Emilie Kaufmann
2022 NIPS