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Workshop
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Fri 6:05
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Invited Talk: Christoph H. Lampert "Learning Theory for Continual and Meta-Learning"
Christoph H. Lampert
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Poster
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Thu 7:00
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ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
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Poster
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Thu 9:00
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Implicit competitive regularization in GANs
Florian Schäfer · Hongkai Zheng · Anima Anandkumar
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Poster
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Wed 13:00
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Attentive Group Equivariant Convolutional Networks
David Romero · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn
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Poster
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Thu 6:00
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Learning the Valuations of a k-demand Agent
Hanrui Zhang · Vincent Conitzer
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Poster
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Thu 7:00
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Generalization via Derandomization
Jeffrey Negrea · Gintare Karolina Dziugaite · Daniel Roy
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Poster
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Tue 7:00
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Familywise Error Rate Control by Interactive Unmasking
Boyan Duan · Aaditya Ramdas · Larry Wasserman
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Poster
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Thu 7:00
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Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang
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Poster
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Wed 9:00
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On the consistency of top-k surrogate losses
Forest Yang · Sanmi Koyejo
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Poster
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Wed 5:00
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Optimal Bounds between f-Divergences and Integral Probability Metrics
Rohit Agrawal · Thibaut Horel
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Poster
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Tue 7:00
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Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Yuandong Tian
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Poster
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Tue 12:00
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Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
Dmytro Perekrestenko · Stephan Müller · Helmut Bölcskei
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