CRUSH OPTIMISM WITH PESSIMISM: STRUCTURED BANDITS BEYOND ASYMPTOTIC OPTIMALITY

von Jun, Kwang-Sung
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

von Kim, Yeoneung
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 2 of 50 (2023)

PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

von Jang, Kyoungseok
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 4 of 50 (2023)

IMPROVED CONFIDENCE BOUNDS FOR THE LINEAR LOGISTIC MODEL AND APPLICATIONS TO BANDITS

von JUN, KWANG-SUNG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

IMPROVED REGRET BOUNDS OF BILINEAR BANDITS USING ACTION SPACE ANALYSIS

von JANG, KYOUNGSEOK
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)