Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

45 Results

<<   <   Page 1 of 4   >   >>
Workshop
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic · Sudeep Salgia · Qing Zhao
Poster
Wed 11:00 No-Regret Bandit Exploration based on Soft Tree Ensemble Model
Shogo Iwazaki · Shinya Suzumura
Poster
Wed 16:30 Stopping Bayesian Optimization with Probabilistic Regret Bounds
James Wilson
Poster
Fri 11:00 Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Zhaoxuan Wu · Xiaoqiang Lin · Zhongxiang Dai · Wenyang Hu · Yao Shu · See-Kiong Ng · Patrick Jaillet · Bryan Kian Hsiang Low
Poster
Wed 11:00 No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang · Ramiro Deo-Campo Vuong · Haipeng Luo
Poster
Wed 11:00 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
Qihao Zhou · Haishan Ye · Luo Luo
Poster
Fri 16:30 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
Long-Fei Li · Peng Zhao · Zhi-Hua Zhou
Poster
Wed 16:30 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek · Masaki Adachi · Michael A Osborne
Poster
Thu 11:00 Ordered Momentum for Asynchronous SGD
Chang-Wei Shi · Yi-Rui Yang · Wu-Jun Li
Poster
Second-order forward-mode optimization of recurrent neural networks for neuroscience
Youjing Yu · Rui Xia · Qingxi Ma · Mate Lengyel · Guillaume Hennequin
Poster
Fri 11:00 Localized Zeroth-Order Prompt Optimization
Wenyang Hu · Yao Shu · Zongmin Yu · Zhaoxuan Wu · Xiaoqiang Lin · Zhongxiang Dai · See-Kiong Ng · Bryan Kian Hsiang Low
Poster
Thu 16:30 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee