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Poster
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Tue 9:00
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Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
Lingkai Kong · Molei Tao
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Poster
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Thu 9:00
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Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
Chaobing Song · Yong Jiang · Yi Ma
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Workshop
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A Learning-boosted Quasi-Newton Method for AC Optimal Power Flow
Kyri Baker
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Poster
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Thu 9:00
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Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
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Poster
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Wed 9:00
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MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu · Pengfei Wei · Jing Jiang · Wei Cao · Jiang Bian · Yi Chang
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Poster
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Thu 9:00
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Learning under Model Misspecification: Applications to Variational and Ensemble methods
Andres Masegosa
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Poster
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Wed 9:00
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The Diversified Ensemble Neural Network
Shaofeng Zhang · Meng Liu · Junchi Yan
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Spotlight
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Thu 19:10
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Sinkhorn Natural Gradient for Generative Models
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
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Poster
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Thu 21:00
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The Primal-Dual method for Learning Augmented Algorithms
Etienne Bamas · Andreas Maggiori · Ola Svensson
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Oral
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Thu 18:15
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The Primal-Dual method for Learning Augmented Algorithms
Etienne Bamas · Andreas Maggiori · Ola Svensson
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Poster
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Wed 9:00
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Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
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Poster
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Thu 21:00
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Sinkhorn Natural Gradient for Generative Models
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
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