30 Results

Poster	Wed 14:00	Non-Convex Bilevel Games with Critical Point Selection Maps Michael Arbel · Julien Mairal
Poster	Thu 14:00	Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
Poster	Wed 9:00	On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab · Michael Jordan · Eric Zhao
Workshop		Connectedness of loss landscapes via the lens of Morse theory Danil Akhtiamov · Matt Thomson
Poster	Thu 14:00	Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms Alireza Fallah · Ali Makhdoumi · azarakhsh malekian · Asuman Ozdaglar
Poster	Tue 14:00	A theory of weight distribution-constrained learning Weishun Zhong · Ben Sorscher · Daniel Lee · Haim Sompolinsky
Poster	Tue 9:00	Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design Andrew Wagenmaker · Kevin Jamieson
Poster	Wed 14:00	On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow · Kaiyi Ji · Yingbin Liang
Poster		Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality Vudtiwat Ngampruetikorn · David Schwab
Poster	Tue 14:00	EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization Laurent Condat · Kai Yi · Peter Richtarik
Workshop		Data-driven Acceleration of Quantum Optimization and Machine Learning via Koopman Operator Learning Di Luo · Jiayu Shen · Rumen Dangovski · Marin Soljacic
Poster		A Unified Convergence Theorem for Stochastic Optimization Methods Xiao Li · Andre Milzarek