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Poster
Deep Variational Implicit Processes
Luis A. Ortega · Simon Rodriguez · Daniel Hernández-Lobato
Poster
Tue 7:30 Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao · Xiantong Zhen · Shengcai Liao · Cees G Snoek
Poster
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui · Victor Veitch
Poster
Tue 2:30 Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Qi Wang · Marco Federici · Herke van Hoof
Poster
Improving the imputation of missing data with Markov Blanket discovery
Yang Liu · Anthony Constantinou
Poster
Gradient Boosting Performs Gaussian Process Inference
Aleksei Ustimenko · Artem Beliakov · Liudmila Prokhorenkova
Poster
Tue 2:30 Estimating individual treatment effects under unobserved confounding using binary instruments
Dennis Frauen · Stefan Feuerriegel
Poster
Tue 7:30 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis
Poster
Mon 2:30 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Jeremiah Zhe Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Balaji Lakshminarayanan · Deepak Ramachandran
Poster
Mon 2:30 Causal Balancing for Domain Generalization
Xinyi Wang · Michael Saxon · Jiachen Li · Hongyang Zhang · Kun Zhang · William Wang
Poster
Wed 2:30 Calibrating Transformers via Sparse Gaussian Processes
Wenlong Chen · Yingzhen Li
Oral
Tue 6:50 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Mohammadsajad Abavisani · David Danks · Sergey Plis