EFFICIENT PURE EXPLORATION IN ADAPTIVE ROUND MODEL

von Jin, Tianyuan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits

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

OPTIMAL STREAMING ALGORITHMS FOR MULTI-ARMED BANDITS

von JIN, TIANYUAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

MOTS: MINIMAX OPTIMAL THOMPSON SAMPLING

von JIN, TIANYUAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs

von Shi, Jieming
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 2 of 5 (2020)

Realtime Top-k Personalized PageRank over Large Graphs on GPUs

von SHI, Jieming
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 1 of 5 (2020)

ALMOST OPTIMAL ANYTIME ALGORITHM FOR BATCHED MULTI-ARMED BANDITS

von JIN, TIANYUAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization

von Jin, Tianyuan
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 3 of 4 (2021)