firstbacksecondback
178 Results
|
Workshop
|
Fri 12:50 |
#38: Off The Rails: Procedural Dilemma Generation for Moral Reasoning Jan-Philipp Fraenken · Ayesha Khawaja · Kanishk Gandhi · Jared Moore · Noah Goodman · Tobias Gerstenberg |
|
|
Workshop
|
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Sean Kulinski · Zeyu Zhou · Ruqi Bai · Murat Kocaoglu · David Inouye |
||
|
Workshop
|
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam · Elan Rosenfeld · Pradeep Ravikumar · Niklas Pfister · Jonas Peters |
||
|
Workshop
|
A Causal Perspective on Label Bias Vishwali Mhasawade · Alexander D'Amour · Stephen Pfohl |
||
|
Workshop
|
Understanding subgroup performance differences of fair predictors using causal models Stephen Pfohl · Natalie Harris · Chirag Nagpal · David Madras · Vishwali Mhasawade · Olawale Salaudeen · Katherine Heller · Sanmi Koyejo · Alexander D'Amour |
||
|
Workshop
|
Reward-Relevance-Filtered Linear Offline Reinforcement Learning Angela Zhou |
||
|
Workshop
|
INTAGS: Interactive Agent-Guided Simulation Song Wei · Andrea Coletta · Svitlana Vyetrenko · Tucker Balch |
||
|
Workshop
|
Exploiting Causal Representations in Reinforcement Learning: A Posterior Sampling Approach Mirco Mutti · Riccardo De Santi · Marcello Restelli · Alexander Marx · Giorgia Ramponi |
||
|
Workshop
|
Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation Hsiao-Ru Pan · Bernhard Schölkopf |
||
|
Workshop
|
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations Cian Eastwood · Julius von Kügelgen · Linus Ericsson · Diane Bouchacourt · Pascal Vincent · Mark Ibrahim · Bernhard Schölkopf |
||
|
Workshop
|
Debiasing Multimodal Models via Causal Information Minimization Vaidehi Patil · Adyasha Maharana · Mohit Bansal |
||
|
Workshop
|
Causal Markov Blanket Representations for Domain Generalization Prediction Naiyu Yin · Hanjing Wang · Tian Gao · Amit Dhurandhar · Qiang Ji |