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Workshop
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Fri 10:00
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Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Buru Chang · Joonyoung Yi
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Poster
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Tue 1:00
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Effective Abstract Reasoning with Dual-Contrast Network
Tao Zhuo · Mohan Kankanhalli
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Poster
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Thu 9:00
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Meta-learning with negative learning rates
Alberto Bernacchia
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Poster
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Thu 9:00
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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae
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Oral
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Thu 11:00
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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae
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Poster
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Thu 17:00
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ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Hengrui Cai · Rui Song · Wenbin Lu
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Poster
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Wed 17:00
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AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin · Tianyi Zhou · Liangyu Zhao · Yibo Zhu · Chuanxiong Guo · Marco Canini · Arvind Krishnamurthy
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Poster
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Tue 9:00
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Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
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Poster
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Tue 9:00
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On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
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Poster
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Mon 1:00
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Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
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Poster
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Mon 9:00
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Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Yong Liu · Jiankun Liu · Shuqiang Wang
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Poster
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Thu 1:00
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AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha
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