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Poster
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Tue 9:00
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Spotlight
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Mon 12:15
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Poster
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Mon 17:00
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Partitioned Learned Bloom Filters
Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska
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Poster
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Thu 1:00
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Go with the flow: Adaptive control for Neural ODEs
Mathieu Chalvidal · Matthew Ricci · Rufin VanRullen · Thomas Serre
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Poster
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Thu 1:00
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A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie · Issei Sato · Masashi Sugiyama
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Poster
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Mon 1:00
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Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang
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Poster
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Tue 17:00
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Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar
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Poster
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Mon 17:00
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Variational Intrinsic Control Revisited
Taehwan Kwon
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Poster
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Mon 1:00
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Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
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Poster
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Wed 9:00
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Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang · Ruosong Wang · Simon Du · Akshay Krishnamurthy
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Spotlight
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Mon 3:30
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Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Malik Tiomoko · Hafiz Tiomoko Ali · Romain Couillet
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Poster
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Thu 9:00
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Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
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