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8 Results
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Poster
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Tue 9:00 |
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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Wed 14:00 |
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye |
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Poster
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Thu 14:00 |
Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov · Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Taesup Kim · Alexander Smola |
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Poster
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Tue 9:00 |
Gradient Estimation with Discrete Stein Operators Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey |
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Workshop
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Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong · Xi Wang · Yong Lin · Tong Zhang |
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Workshop
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Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet · Laurence Midgley · Alexandre Laterre |
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Poster
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Thu 9:00 |
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye |
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Workshop
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LSGANs with Gradient Regularizers are Smooth High-dimensional Interpolators Siddarth Asokan · Chandra Seelamantula |