|
Poster
|
Tue 9:00
|
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
|
|
|
Poster
|
Tue 14:00
|
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Sanae Lotfi · Marc Finzi · Sanyam Kapoor · Andres Potapczynski · Micah Goldblum · Andrew Wilson
|
|
|
Panel
|
Tue 17:45
|
Panel 2B-2: One Positive Label… & Calibrated Data-Dependent Constraints…
Songkai Xue · Ning Xu
|
|
|
Poster
|
Tue 9:00
|
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Songkai Xue · Yuekai Sun · Mikhail Yurochkin
|
|
|
Workshop
|
|
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery
Jeyhun Rustamov · Luisa Fennert · Nico Hoffmann
|
|
|
Poster
|
Thu 14:00
|
Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo · Michael Jordan · Angela Zhou
|
|
|
Poster
|
Wed 14:00
|
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Nicolai Engelmann · Heinz Koeppl
|
|
|
Poster
|
Tue 9:00
|
Learning with little mixing
Ingvar Ziemann · Stephen Tu
|
|
|
Poster
|
Thu 14:00
|
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero · Leon Bottou · Yann LeCun
|
|
|
Poster
|
Tue 14:00
|
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Cian Naik · Judith Rousseau · Trevor Campbell
|
|
|
Poster
|
Tue 9:00
|
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
|
|
|
Workshop
|
Fri 13:00
|
Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
|
|
