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Workshop
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Sun 12:00
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Quantum Equilibrium Propagation: gradient-descent training of quantum systems
Benjamin Scellier
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Workshop
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Sun 11:00
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Quantum Equilibrium Propagation: gradient-descent training of quantum systems
Benjamin Scellier
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Poster
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Thu 16:30
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The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
Roi Livni
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Workshop
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In-Context Learning behaves as a greedy layer-wise gradient descent algorithm
Brian Chen · Tianyang Hu · Hui Jin · Hwee Lee · Kenji Kawaguchi
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Poster
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Wed 16:30
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The Implicit Bias of Gradient Descent on Separable Multiclass Data
Hrithik Ravi · Clay Scott · Daniel Soudry · Yutong Wang
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Workshop
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Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
ABULIKEMU ABUDUWEILI · Changliu Liu
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Poster
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Fri 16:30
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A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
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Poster
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Wed 16:30
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Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent
Yiwen Kou · Zixiang Chen · Quanquan Gu · Sham Kakade
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Workshop
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Implicit Bias of Adam versus Gradient Descent in One-Hidden-Layer Neural Networks
Bhavya Vasudeva · Vatsal Sharan · Mahdi Soltanolkotabi
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Poster
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Thu 16:30
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Parameter-free Clipped Gradient Descent Meets Polyak
Yuki Takezawa · Han Bao · Ryoma Sato · Kenta Niwa · Makoto Yamada
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Affinity Event
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Confounder-Agnostic Learning: Enhancing Robustness with Projected Gradient Descent
Sneha Chetani · Tatjana Chavdarova
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Poster
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Thu 16:30
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Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
Liu Ziyin · Mingze Wang · Hongchao Li · Lei Wu
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