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Poster
Tue 21:00 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Workshop
Fri 12:50 Paper Presentation 3: Dynamic Customer Embedding for Financial Service Applications
Samuel Sharpe · Qianyu Cheng · Dwipam Katariya · Karthik Rajasethupathy
Workshop
Data-Dependent PAC-Bayesian Bounds in the Random-Subset Setting with Applications to Neural Networks
Fredrik Hellström · Giuseppe Durisi
Poster
Thu 9:00 Delving into Deep Imbalanced Regression
Yuzhe Yang · Kaiwen Zha · YINGCONG CHEN · Hao Wang · Dina Katabi
Spotlight
Wed 18:30 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
Spotlight
Tue 18:35 Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
Workshop
Sat 9:33 Nested Conformal Prediction Sets for Classification with Applications to Probation Data (Spotlight #3)
Richard Berk
Spotlight
Wed 18:20 Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
Poster
Wed 21:00 Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
Oral Session
Thu 17:00 Applications (NLP) 2
Poster
Tue 9:00 Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy · Sheheryar Zaidi