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Poster
Thu 11:00 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
Jincheng Mei · Bo Dai · Alekh Agarwal · Sharan Vaswani · Anant Raj · Csaba Szepesvari · Dale Schuurmans
Poster
Fri 16:30 Universal Rates of Empirical Risk Minimization
Steve Hanneke · Mingyue Xu
Workshop
GaLore-mini: Low Rank Gradient Learning with Fewer Learning Rates
WH Huang · Zhenyu Zhang · Yushun Zhang · Zhiquan Luo · Ruoyu Sun · Zhangyang &quot;Atlas&quot; Wang
Workshop
Perception Loss Function Adaptive to Rate for Learned Video Compression
Sadaf Salehkalaibar · Truong Buu Phan · João Atz Dick · Ashish Khisti · Jun Chen · Wei Yu
Workshop
Sun 16:21 Xiaochun Niu, Lili Su, Jiaming Xu & Pengkun Yang. Collaborative Learning with Shared Linear Representation: Statistical Rates and Optimal Algorithms
Poster
Thu 16:30 Approximation Rate of the Transformer Architecture for Sequence Modeling
Haotian Jiang · Qianxiao Li
Poster
Wed 16:30 The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
Florian Kalinke · Zoltan Szabo
Poster
Fri 16:30 Estimating the Hallucination Rate of Generative AI
Andrew Jesson · Nicolas Beltran Velez · Quentin Chu · Sweta Karlekar · Jannik Kossen · Yarin Gal · John Cunningham · David Blei
Poster
Fri 16:30 Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu · Jose Blanchet · Peter W Glynn
Workshop
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms
Xiaochun Niu · Lili Su · Jiaming Xu · Pengkun Yang
Poster
Fri 11:00 Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov · Maxim Kodryan · Eduard Pokonechny · Ekaterina Lobacheva · Dmitry Vetrov
Poster
Thu 16:30 A Universal Growth Rate for Learning with Smooth Surrogate Losses
Anqi Mao · Mehryar Mohri · Yutao Zhong