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61 Results
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Poster
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Thu 9:00 |
Better SGD using Second-order Momentum Hoang Tran · Ashok Cutkosky |
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Poster
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Tue 9:00 |
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan |
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Poster
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Wed 9:00 |
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan |
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Poster
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Wed 14:00 |
ATD: Augmenting CP Tensor Decomposition by Self Supervision Chaoqi Yang · Cheng Qian · Navjot Singh · Cao (Danica) Xiao · M Westover · Edgar Solomonik · Jimeng Sun |
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Poster
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Thu 14:00 |
Using Partial Monotonicity in Submodular Maximization Loay Mualem · Moran Feldman |
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Poster
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Wed 14:00 |
Non-Convex Bilevel Games with Critical Point Selection Maps Michael Arbel · Julien Mairal |
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Poster
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Wed 14:00 |
Reinforcement Learning with Non-Exponential Discounting Matthias Schultheis · Constantin Rothkopf · Heinz Koeppl |
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Poster
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Wed 9:00 |
Improved Imaging by Invex Regularizers with Global Optima Guarantees Samuel Pinilla · Tingting Mu · Neil Bourne · Jeyan Thiyagalingam |
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Poster
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Wed 14:00 |
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas |
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Poster
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Tue 14:00 |
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang |
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Poster
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Wed 9:00 |
Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh |
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Poster
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Wed 9:00 |
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks Mingze Wang · Chao Ma |