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Workshop
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Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting
Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
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Poster
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Wed 9:00
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Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
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Poster
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Wed 14:00
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On the generalization of learning algorithms that do not converge
Nisha Chandramoorthy · Andreas Loukas · Khashayar Gatmiry · Stefanie Jegelka
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Workshop
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Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions
Yiren Liu · S. Joe Qin · Xiangyu Zhao · Yixiao HUANG · Shenglong Yao · Guo Han
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Poster
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Tue 9:00
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A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Ville Hyvönen · Elias Jääsaari · Teemu Roos
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Poster
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Thu 9:00
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Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato · Masanori Koyama · Kenji Fukumizu
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Poster
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Wed 14:00
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Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer · Max Hopkins · Chutong Yang · Hantao Yu
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Poster
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Wed 9:00
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Identifiability of deep generative models without auxiliary information
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
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Poster
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Thu 9:00
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Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu
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Poster
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Thu 9:00
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DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu · Lin Liu · Zhonghua Liu
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Poster
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Thu 14:00
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Robust Graph Structure Learning via Multiple Statistical Tests
Yaohua Wang · Fangyi Zhang · Ming Lin · Senzhang Wang · Xiuyu Sun · Rong Jin
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