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