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Workshop
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Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
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Workshop
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Fri 6:30
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Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
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Workshop
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Fri 9:00
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang
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Workshop
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang · Jiang Bo · Chang He · Yuntian Jiang · Dongdong Ge · Yinyu Ye
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Poster
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Thu 14:00
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Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
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Poster
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Tue 14:00
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
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Workshop
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Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
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Poster
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Thu 9:00
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Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Poster
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Tue 9:00
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Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Saeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran
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Poster
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Tue 14:00
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Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
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Workshop
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An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo · Pin-Yu Chen
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