Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

241 Results

<<   <   Page 1 of 21   >   >>
Workshop
Sun 9:30 Rich Caruana: The Unexpected Success of GlassBox Learning with Tabular Data
Rich Caruana
Poster
Thu 16:30 Data-Efficient Learning with Neural Programs
Alaia Solko-Breslin · Seewon Choi · Ziyang Li · Neelay Velingker · Rajeev Alur · Mayur Naik · Eric Wong
Workshop
Sat 8:40 Gaël Varoquaux (Inria, Probabl): Tabular foundation models for analytics: challenges and progress
Gael Varoquaux
Poster
Wed 16:30 Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie · Xueru Zhang
Tutorial
Tue 13:30 Sandbox for the Blackbox: How LLMs Learn Structured Data?
Bingbin Liu · Ashok Vardhan Makkuva · Jason Lee
Poster
Wed 11:00 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
Kohei Miyaguchi
Workshop
Data Augmentation Transformations for Self-Supervised Learning with Ultrasound
Blake VanBerlo · Alexander Wong · Jesse Hoey · Robert Arntfield
Poster
Wed 16:30 Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee · Cong Ma
Poster
Thu 16:30 Data subsampling for Poisson regression with pth-root-link
Han Cheng Lie · Alexander Munteanu
Affinity Event
Supporting Responsible Machine Learning by Improving Data Curation
Eshta Bhardwaj · Christoph Becker
Poster
Thu 11:00 Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards
Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong
Workshop
Sun 15:30 Machine Learning from Imbalanced Data Sources, by Shiqiang Wang
Shiqiang Wang