Poster

Thu 7:30

Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
Marc Abeille · Louis Faury · Clement Calauzenes

Poster

Wed 6:00

On the Memory Mechanism of Tensor-Power Recurrent Models
Hejia Qiu · Chao Li · Ying Weng · Zhun Sun · Xingyu He · Qibin Zhao

Poster

Tue 18:30

One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu · Jiaming Xu

Poster

Tue 18:30

Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
Takahiro Mimori · Keiko Sasada · Hirotaka Matsui · Issei Sato

Oral

Tue 11:30

Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge

Poster

Wed 6:00

Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park

Poster

Wed 6:00

Sequential Random Sampling Revisited: Hidden Shuffle Method
Michael Shekelyan · Graham Cormode

Oral

Wed 11:30

Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper

Poster

Thu 7:30

Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
Nafiseh Ghoroghchian · Gautam Dasarathy · Stark Draper

Oral

Wed 9:15

Logistic Q-Learning
Joan Bas Serrano · Sebastian Curi · Andreas Krause · Gergely Neu

Poster

Wed 6:00

A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
Samet Oymak · Talha Cihad Gulcu

Poster

Tue 14:00

The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev