Workshop

Fri 6:05

Invited Talk: Christoph H. Lampert "Learning Theory for Continual and Meta-Learning"
Christoph H. Lampert

Poster

Thu 7:00

ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier

Poster

Thu 9:00

Implicit competitive regularization in GANs
Florian Schäfer · Hongkai Zheng · Anima Anandkumar

Poster

Wed 13:00

Attentive Group Equivariant Convolutional Networks
David Romero · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn

Poster

Thu 6:00

Learning the Valuations of a $k$-demand Agent
Hanrui Zhang · Vincent Conitzer

Poster

Thu 7:00

Generalization via Derandomization
Jeffrey Negrea · Gintare Karolina Dziugaite · Daniel Roy

Poster

Tue 7:00

Familywise Error Rate Control by Interactive Unmasking
Boyan Duan · Aaditya Ramdas · Larry Wasserman

Poster

Thu 7:00

Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang

Poster

Wed 9:00

On the consistency of top-k surrogate losses
Forest Yang · Sanmi Koyejo

Poster

Wed 5:00

Optimal Bounds between f-Divergences and Integral Probability Metrics
Rohit Agrawal · Thibaut Horel

Poster

Tue 7:00

Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Yuandong Tian

Poster

Tue 12:00

Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks
Dmytro Perekrestenko · Stephan Müller · Helmut Bölcskei