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Workshop
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Sat 12:15
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Ricky T. Q. Chen---Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Tian Qi Chen
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Poster
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Thu 9:00
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Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
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Workshop
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Fri 11:00
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Background on black box optimization (BBO)
Ryan Turner
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Poster
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Wed 21:00
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Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao · Ozan Sener
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Workshop
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Fri 12:00
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Convex Optimization for Blind Source Separation on a Statistical Manifold
Simon Luo · lamiae azizi · Mahito Sugiyama
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Workshop
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Sat 18:40
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Framework for automatic globally optimal well log correlation
Oleh Datskiv
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Poster
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Thu 9:00
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An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
Andrea Tirinzoni · Matteo Pirotta · Marcello Restelli · Alessandro Lazaric
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Poster
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Thu 9:00
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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai
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Workshop
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Sat 12:00
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10 - A Trainable Optimal Transport Embedding for Feature Aggregation
Grégoire Mialon
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Workshop
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Paper 2: Energy-Based Continuous Inverse Optimal Control
Yifei Xu · Jianwen Xie · Chris Baker · Yibiao Zhao · Ying Nian Wu
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Poster
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Tue 21:00
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Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang · Jian Li
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Workshop
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Fri 3:15
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OPT2020: Optimization for Machine Learning
Courtney Paquette · Mark Schmidt · Sebastian Stich · Quanquan Gu · Martin Takac
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