Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity Shiyin Tan Dongyuan Li Renhe Jiang Zhen Wang Xingtong Yu Manabu Okumura CML 7 0 0 20 May 2025
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects Shu Tamano Masanori Nojima OffRL 42 0 0 02 May 2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 232 0 0 29 Apr 2025
Measures of Variability for Risk-averse Policy Gradient Yudong Luo Yangchen Pan Jiaqi Tan Pascal Poupart 45 0 0 15 Apr 2025
Clustered KL-barycenter design for policy evaluation Simon Weissmann Till Freihaut Claire Vernade Giorgia Ramponi Leif Döring OffRL 71 0 0 04 Mar 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Yuheng Zhang Nan Jiang OffRL 61 0 0 03 Mar 2025
Off-policy estimation with adaptively collected data: the power of online learning Jeonghwan Lee Cong Ma OffRL 81 0 0 19 Nov 2024
Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma Vishnu Vinod Abhradeep Thakurta Alekh Agarwal Borja Balle Christoph Dann A. Raghuveer OffRL 89 0 0 18 Nov 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 32 0 0 18 Oct 2024
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models Amin Abolghasemi Leif Azzopardi Seyyed Hadi Hashemi Maarten de Rijke Suzan Verberne 44 0 0 16 Oct 2024
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data Ehsan Ebrahimzadeh Nikhil Monga Hang Gao Alex Cozzi Abraham Bagherjeiran CML OffRL 30 0 0 06 Oct 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation Shreyas Chaudhari Ameet Deshpande Bruno Castro da Silva Philip S. Thomas OffRL 39 1 0 03 Oct 2024
Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders Kaushal Paneri Michael Munje Kailash Singh Maurya Adith Swaminathan Yifan Shi 25 0 0 23 Sep 2024
Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning Yimeng Jia Kaushal Paneri Rong Huang Kailash Singh Maurya Pavan Mallapragada Yifan Shi 38 0 0 20 Sep 2024
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems Zhirong Huang Shichao Zhang Debo Cheng Jiuyong Li Lin Liu Guangquan Lu CML 28 0 0 19 Aug 2024
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems Zhirong Huang Shichao Zhang Debo Cheng Jiuyong Li Lin Liu Guixian Zhang CML 16 0 0 19 Aug 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 32 0 0 10 Aug 2024
A pragmatic policy learning approach to account for users' fatigue in repeated auctions Benjamin Heymann Rémi Chan--Renous-Legoubin Alexandre Gilotte OffRL 16 0 0 15 Jul 2024
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning Shaobo Cui Zhijing Jin Bernhard Schölkopf Boi Faltings CML LRM 47 4 0 27 Jun 2024
AutoOPE: Automated Off-Policy Estimator Selection Nicolò Felicioni Michael Benigni Maurizio Ferrari Dacrema OffRL 26 1 0 26 Jun 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 70 0 0 25 Jun 2024
ExDAG: Exact learning of DAGs Pavel Rytír Ales Wodecki Jakub Marecek CML 53 1 0 21 Jun 2024
Off-Policy Evaluation from Logged Human Feedback Aniruddha Bhargava Lalit P. Jain Branislav Kveton Ge Liu Subhojyoti Mukherjee OffRL 34 2 0 14 Jun 2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 51 1 0 05 Jun 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP Subhojyoti Mukherjee Josiah P. Hanna Robert Nowak OffRL 56 0 0 04 Jun 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 37 0 0 24 May 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi Imad Aouali Pierre Alquier Nicolas Chopin OffRL 45 1 0 23 May 2024
Multi-Objective Recommendation via Multivariate Policy Learning Olivier Jeunen Jatin Mandav Ivan Potapov Nakul Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko OffRL 21 3 0 03 May 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 41 0 0 26 Apr 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery Jingru Zhu Ya Guo Geng Sun Liang Hong Jie Chen 40 3 0 06 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 41 1 0 05 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 39 0 0 28 Feb 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 41 5 0 22 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking Alexander Pan Erik Jones Meena Jagadeesan Jacob Steinhardt KELM 55 25 0 09 Feb 2024
A call for embodied AI Giuseppe Paolo Jonas Gonzalez-Billandon Balázs Kégl LM&Ro 45 9 0 06 Feb 2024
Transductive Reward Inference on Graph B. Qu Xiaofeng Cao Qing Guo Yi Chang Ivor W. Tsang Chengqi Zhang OffRL 43 0 0 06 Feb 2024
Position bias in features Richard Demsyn-Jones 17 1 0 04 Feb 2024
Multi-Armed Bandits with Interference Su Jia P. Frazier Nathan Kallus 24 3 0 02 Feb 2024
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits Yi Guo Hao Liu Yisong Yue Anqi Liu OffRL 31 1 0 21 Jan 2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 31 0 0 24 Dec 2023
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
When is Offline Policy Selection Sample Efficient for Reinforcement Learning? Vincent Liu P. Nagarajan Andrew Patterson Martha White OffRL 39 2 0 04 Dec 2023
Enhancing Sentiment Analysis Results through Outlier Detection Optimization Yuetian Chen Mei Si 18 1 0 25 Nov 2023
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens Jean Feng Adarsh Subbaswamy Alexej Gossmann Harvineet Singh B. Sahiner Mi-Ok Kim Gene Pennello N. Petrick Romain Pirracchio Fan Xia 24 1 0 20 Nov 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 38 2 0 25 Oct 2023
Counterfactual Prediction Under Selective Confounding Sohaib Kiani Jared Barton Jon Sushinsky Lynda Heimbach Bo Luo CML 40 1 0 21 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 31 21 0 16 Oct 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 37 3 0 13 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 37 5 0 09 Oct 2023
Offline Imitation Learning with Variational Counterfactual Reasoning Bowei He Zexu Sun Jinxin Liu Shuai Zhang Xu Chen Chen Ma OffRL 41 9 0 07 Oct 2023