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In the Eye of the Beholder: Robust Prediction with Causal User Modeling

1 June 2022

Papers citing "In the Eye of the Beholder: Robust Prediction with Causal User Modeling"

26 / 26 papers shown

Title
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 91 244 0 02 Sep 2021
Designing an Automatic Agent for Repeated Language based Persuasion Games Maya Raifer Guy Rotman Reut Apel Moshe Tennenholtz Roi Reichart 63 9 0 11 May 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 46 33 0 14 Mar 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David Nadav Oved Roi Reichart VLM OOD 65 94 0 24 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 112 158 0 20 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 239 1,449 0 14 Dec 2020
Do Offline Metrics Predict Online Performance in Recommender Systems? K. Krauth Sarah Dean Alex Zhao Wenshuo Guo Mihaela Curmei Benjamin Recht Michael I. Jordan OffRL 61 41 0 07 Nov 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 315 447 0 15 Oct 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 120 161 0 27 May 2020
A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos Marc Faddoul Guillaume Chaslot Hany Farid 48 81 0 06 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 328 943 0 02 Mar 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 203 2,246 0 05 Jul 2019
Predicting human decisions with behavioral theories and machine learning Ori Plonsky Reut Apel E. Ert Moshe Tennenholtz David D. Bourgin ... Thomas Griffiths Stuart J. Russell Evan C. Carter J. Cavanagh Ido Erev 60 44 0 15 Apr 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 143 1,244 0 04 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
The Deconfounded Recommender: A Causal Inference Approach to Recommendation Yixin Wang Dawen Liang Laurent Charlin David M. Blei CML 72 73 0 20 Aug 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 211 316 0 30 Oct 2017
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 114 237 0 20 Jul 2017
Human Interaction with Recommendation Systems S. Schmit C. Riquelme 61 51 0 01 Mar 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 105 3,170 0 06 Jul 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 166 686 0 17 Feb 2016
Modeling User Exposure in Recommendation Dawen Liang Laurent Charlin James McInerney David M. Blei 152 390 0 23 Oct 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 254 299 0 15 Oct 2012
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 402 787 0 11 Sep 2012
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 94 612 0 27 Jun 2012