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Workshop
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Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
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Poster
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Tue 14:00
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Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu · David Simchi-Levi · Zhenzhen Yan
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Workshop
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Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
Pan Zhou · Xingyu Xie · Shuicheng Yan
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Poster
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Thu 9:00
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Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang
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Poster
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Tue 14:00
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Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
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Poster
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Thu 9:00
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A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Seo Taek Kong · Soomin Jeon · Dongbin Na · Jaewon Lee · Hong-Seok Lee · Kyu-Hwan Jung
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Poster
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Thu 9:00
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MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti · Alexia Jolicoeur-Martineau · Chris Pal
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Poster
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Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Lesi Chen · Boyuan Yao · Luo Luo
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Poster
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Tue 9:00
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On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora
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Workshop
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A deep learning approach to recover conditional independence graphs
Harsh Shrivastava · Urszula Chajewska · Robin Abraham · Xinshi Chen
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Poster
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Thu 9:00
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Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara · Ching-pei Lee
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