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Poster
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Thu 16:30
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On the Convergence of Gradient Flow on Multi-layer Linear Models
Hancheng Min · Rene Vidal · Enrique Mallada
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Poster
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Tue 17:00
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Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Ainesh Bakshi · Allen Liu · Ankur Moitra · morris yau
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Poster
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Tue 17:00
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Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Asuman Ozdaglar · Sarath Pattathil · Jiawei Zhang · Kaiqing Zhang
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Workshop
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Borda Regret Minimization for Generalized Linear Dueling Bandits
Yue Wu · Tao Jin · Qiwei Di · Hao Lou · Farzad Farnoud · Quanquan Gu
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Workshop
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Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
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Workshop
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Diffusion Probabilistic Models Generalize when They Fail to Memorize
TaeHo Yoon · Joo Young Choi · Sehyun Kwon · Ernest Ryu
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Poster
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Wed 14:00
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Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
Heyang Zhao · Dongruo Zhou · Jiafan He · Quanquan Gu
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Poster
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Thu 13:30
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The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
Daniel Pfrommer · Max Simchowitz · Tyler Westenbroek · Nikolai Matni · Stephen Tu
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Poster
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Wed 14:00
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PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain
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Workshop
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The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-language Models
Chenwei Wu · Li Li · Stefano Ermon · Patrick Haffner · Rong Ge · Zaiwei Zhang
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Poster
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Wed 14:00
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General Sequential Episodic Memory Model
Arjun Karuvally · Terrence Sejnowski · Hava Siegelmann
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Workshop
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Predictive Modeling of Engine-out Emissions using a Combination of Computational Fluid Dynamics and Machine Learning
Alok Warey · Jian Gao · Ronald Grover
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