Search All 2021 Events
 

Filter by Keyword:

56 Results

<<   <   Page 1 of 5   >   >>
Poster
Wed 12:45 A Study of Condition Numbers for First-Order Optimization
Charles Guille-Escuret · Manuela Girotti · Baptiste Goujaud · Ioannis Mitliagkas
Poster
Wed 12:45 Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Poster
Wed 12:45 A Variational Information Bottleneck Approach to Multi-Omics Data Integration
Changhee Lee · Mihaela van der Schaar
Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 6:00 Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni · Richard Vidal · Marco Lorenzi
Poster
Wed 6:00 High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
Hannah Marienwald · Jean-Baptiste Fermanian · Gilles Blanchard
Poster
Wed 12:45 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Oral
Thu 13:00 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Poster
Wed 12:45 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
Maxime Vandegar · Michael Kagan · Antoine Wehenkel · Gilles Louppe
Poster
Thu 7:30 Learning Matching Representations for Individualized Organ Transplantation Allocation
Can Xu · Ahmed Alaa · Ioana Bica · Brent Ershoff · Maxime Cannesson · Mihaela van der Schaar
Poster
Tue 14:00 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu
Poster
Tue 14:00 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
Jiaqi Ma · Xinyang Yi · Weijing Tang · Zhe Zhao · Lichan Hong · Ed Chi · Qiaozhu Mei