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