Near-Optimal Collaborative Learning in Bandits

von Réda, Clémence
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 19 of 50 (2023)

A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance

von Salgia, Sudeep
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

AMORTIZED VARIANCE REDUCTION FOR DOUBLY STOCHASTIC OBJECTIVE

von BOUSTATI, AYMAN
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 1 of 3 (2021)

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning

von Vakili, Sattar
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 27 of 33 (2023)

Scalable Thompson Sampling using Sparse Gaussian Process Models

von Vakili, Sattar
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

Optimal Order Simple Regret for Gaussian Process Bandits

von Vakili, Sattar
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)