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Poster
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Tue 10:45
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A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu · Mark Squillante · Chai Wah Wu
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Poster
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Wed 10:45
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Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao
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Poster
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Wed 10:45
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Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
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Poster
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Thu 10:45
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Practical Two-Step Lookahead Bayesian Optimization
Jian Wu · Peter Frazier
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Poster
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Tue 17:30
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Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
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Wed 17:00
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Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas Mueller · Vasilis Syrgkanis · Matt Taddy
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Poster
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Thu 17:00
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On the Inductive Bias of Neural Tangent Kernels
Alberto Bietti · Julien Mairal
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Poster
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Tue 10:45
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Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
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Poster
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Thu 17:00
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Implicit Regularization of Accelerated Methods in Hilbert Spaces
Nicolò Pagliana · Lorenzo Rosasco
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Poster
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Thu 17:00
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Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu · Leman Akoglu · Alessandro Rinaldo
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Poster
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Tue 17:30
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Multiclass Learning from Contradictions
Sauptik Dhar · Vladimir Cherkassky · Mohak Shah
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Poster
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Wed 10:45
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Direct Estimation of Differential Functional Graphical Models
Boxin Zhao · Y. Samuel Wang · Mladen Kolar
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