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Workshop
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Generalised Hyperbolic State-space Models for Inference in Dynamic Systems
Yaman Kindap · Simon Godsill
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Poster
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Thu 15:00
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Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Dominik Straub · Matthias Schultheis · Heinz Koeppl · Constantin Rothkopf
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Workshop
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A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri · Donghwan Lee · Hamed Hassani · Edgar Dobriban
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Workshop
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A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
Aaron Brown · Eric Chin · Youngsoo Choi · Saad Khairallah · Joseph McKeown
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Poster
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Tue 8:45
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Stable Nonconvex-Nonconcave Training via Linear Interpolation
Thomas Pethick · Wanyun Xie · Volkan Cevher
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Poster
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Thu 8:45
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Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Scott Pesme · Nicolas Flammarion
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Poster
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Wed 8:45
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Non-stationary Experimental Design under Linear Trends
David Simchi-Levi · Chonghuan Wang · Zeyu Zheng
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Poster
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Wed 8:45
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Imbalanced Mixed Linear Regression
Pini Zilber · Boaz Nadler
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Workshop
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Reward-Relevance-Filtered Linear Offline Reinforcement Learning
Angela Zhou
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Poster
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Tue 15:15
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Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
Shahriar Talebi · Amirhossein Taghvaei · Mehran Mesbahi
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Poster
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Tue 8:45
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(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Mathieu Even · Scott Pesme · Suriya Gunasekar · Nicolas Flammarion
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Workshop
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Stochastic linear dynamics in parameters to deal with Neural Networks plasticity loss
Alexandre Galashov · Michalis Titsias · Razvan Pascanu · Yee Whye Teh · Maneesh Sahani
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