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Nathan Kallus

  1. Is Cosine-Similarity of Embeddings Really About Similarity?
    2024/03/08 by Harald Steck, Chaitanya Ekanadham, Nathan Kallus · 7 voices · 21 citations
    Computer Science · #Topic Modeling #Advanced Text Analysis Techniques #Natural Language Processing Techniques
  2. Data-driven robust optimization
    2017/02/25 by Dimitris Bertsimas, Vishal Gupta, Nathan Kallus · 23 citations
    Decision Sciences · Mathematics · #Risk and Portfolio Optimization #Fuzzy Systems and Optimization #Multi-Criteria Decision Making
  3. Data-Driven Robust Optimization
    2013/12/31 by Dimitris Bertsimas, Vishal Gupta, Bertsimas, Dimitris +3 · 9 citations
    Computer Science · Decision Sciences · Engineering · #Bayesian Modeling and Causal Inference #FOS: Mathematics #Optimization and Control (math.OC) #Reservoir Engineering and Simulation Methods #Risk and Portfolio Optimization
  4. Generalized Optimal Matching Methods for Causal Inference
    2016/12/26 by Nathan Kallus, Kallus, Nathan · 10 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
  5. Removing Hidden Confounding by Experimental Grounding
    2018/10/27 by Nathan Kallus, Kallus, Nathan, Aahlad Puli +3 · 9 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychometric Methodologies and Testing
  6. Interval Estimation of Individual-Level Causal Effects Under Unobserved\n Confounding
    2018/10/05 by Nathan Kallus, Kallus, Nathan, Xiaojie Mao +3 · 10 citations
    Mathematics · Decision Sciences · Economics, Econometrics and Finance · #Advanced Causal Inference Techniques #Decision-Making and Behavioral Economics #Health Systems, Economic Evaluations, Quality of Life
  7. A Review of Off-Policy Evaluation in Reinforcement Learning
    2022/12/13 by Masatoshi Uehara, Uehara, Masatoshi, Chengchun Shi +3 · 1 voice · 9 citations
    Computer Science · #Reinforcement Learning in Robotics #cs.LG #math.ST #stat.ME #stat.ML
  8. On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
    2020/03/27 by Nathan Kallus, Xiaojie Mao, Kallus, Nathan +1 · 8 citations
    Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
  9. Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
    2019/08/22 by Nathan Kallus, Masatoshi Uehara, Kallus, Nathan +1 · 11 citations
    Mathematics · Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Causal Inference Techniques #Reinforcement Learning in Robotics #Gene Regulatory Network Analysis
  10. Applied Causal Inference Powered by ML and AI
    2024/03/04 by Victor Chernozhukov, Christian Hansen, Chernozhukov, Victor +7 · 6 voices · 6 citations
    Computer Science · Economics, Econometrics and Finance · Engineering · Mathematics · #AI-based Problem Solving and Planning #Advanced Data Processing Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #cs.LG #econ.EM #stat.ME #stat.ML
  11. Confounding-Robust Policy Improvement
    2018/05/22 by Nathan Kallus, Angela Zhou, Kallus, Nathan +1 · 6 citations
    Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods in Clinical Trials
  12. Long-term Causal Inference Under Persistent Confounding via Data Combination
    2022/02/15 by Guido W. Imbens, Imbens, Guido, Nathan Kallus +5 · 7 citations
    Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
  13. Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
    2021/12/21 by Jacob Dorn, Dorn, Jacob, Kevin Guo +3 · 1 voice · 5 citations
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC) #cs.LG #econ.EM #math.OC #stat.ME #stat.ML
  14. Balanced Policy Evaluation and Learning
    2017/05/21 by Nathan Kallus, Kallus, Nathan · 4 citations
    Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistical Methods and Inference
  15. Post-Contextual-Bandit Inference
    2021/06/01 by Aurélien Bibaut, Bibaut, Aurélien, Antoine Chambaz +7 · 6 citations
    Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials
  16. The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
    2019/02/15 by Nathan Kallus, Angela Zhou, Kallus, Nathan +1 · 4 citations
    Computer Science · Economics, Econometrics and Finance · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
    2023/02/07 by Kaiwen Wang, Wang, Kaiwen, Nathan Kallus +3 · 6 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Age of Information Optimization
  18. Policy Evaluation and Optimization with Continuous Treatments
    2018/02/16 by Nathan Kallus, Angela Zhou, Kallus, Nathan +1 · 4 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  19. Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
    2020/02/11 by Nathan Kallus, Angela Zhou, Kallus, Nathan +1 · 4 citations
    Business, Management and Accounting · Computer Science · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
  20. Provable Offline Preference-Based Reinforcement Learning
    2023/05/24 by Wenhao Zhan, Masatoshi Uehara, Zhan, Wenhao +7 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics #Formal Methods in Verification
  21. Stochastic Optimization Forests
    2020/08/17 by Nathan Kallus, Xiaojie Mao, Kallus, Nathan +1 · 4 citations
    Computer Science · #Machine Learning and Data Classification #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI)
  22. Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
    2019/06/01 by Nathan Kallus, Xiaojie Mao, Kallus, Nathan +3 · 1 voice · 4 citations
    Economics, Econometrics and Finance · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Health Systems, Economic Evaluations, Quality of Life #Insurance, Mortality, Demography, Risk Management #cs.LG #math.OC #stat.ML
  23. Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
    2019/12/30 by Nathan Kallus, Xiaojie Mao, Kallus, Nathan +3 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  24. Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with\n Latent Confounders
    2020/07/27 by Andrew Bennett, Nathan Kallus, Bennett, Andrew +5 · 4 citations
    Computer Science · Environmental Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Environmental Impact and Sustainability #Health Systems, Economic Evaluations, Quality of Life
  25. What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
    2022/05/20 by Nathan Kallus, Kallus, Nathan · 3 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
  26. Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
    2022/06/24 by Masatoshi Uehara, Uehara, Masatoshi, Ayush Sekhari +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
  27. Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
    2021/02/05 by Masatoshi Uehara, Masaaki Imaizumi, Uehara, Masatoshi +9 · 6 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Software Reliability and Analysis Research #Statistics Theory (math.ST)
  28. Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
    2024/05/20 by Zhankui He, Zhouhang Xie, He, Zhankui +11 · 4 citations
    Computer Science · #Topic Modeling #Recommender Systems and Techniques #Advanced Text Analysis Techniques
  29. Inference on Strongly Identified Functionals of Weakly Identified Functions
    2022/08/17 by Nathan Kallus, Bennett, Andrew, Xiaojie Mao +5 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
  30. A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
    2024/03/10 by Kaiwen Wang, Wang, Kaiwen, Dawen Liang +5 · 3 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Formal Methods in Verification #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Risk and Safety Analysis
  31. Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
    2025/02/19 by Yaochen Zhu, Zhu, Yaochen, Chao Wan +11 · 6 citations
    Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  32. Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
    2022/07/26 by Masatoshi Uehara, Uehara, Masatoshi, Haruka Kiyohara +13 · 2 citations
    Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
  33. Learning the Covariance of Treatment Effects Across Many Weak Experiments
    2024/02/27 by Aurélien Bibaut, Bibaut, Aurélien, Winston Chou +5 · 1 voice · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods in Clinical Trials #stat.ME
  34. Fairness, Welfare, and Equity in Personalized Pricing
    2020/12/21 by Nathan Kallus, Angela Zhou, Kallus, Nathan +1 · 1 citation
    Business, Management and Accounting · Economics, Econometrics and Finance · #Consumer Market Behavior and Pricing #Financial Literacy, Pension, Retirement Analysis #Economic theories and models
  35. Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
    2021/03/25 by Nathan Kallus, Kallus, Nathan, Xiaojie Mao +3 · 1 citation
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Inference
  36. Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
    2023/02/05 by Masatoshi Uehara, Nathan Kallus, Uehara, Masatoshi +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  37. Provable Safe Reinforcement Learning with Binary Feedback
    2022/10/26 by Andrew F. Bennett, Dipendra Misra, Bennett, Andrew +3 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research
  38. Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness
    2023/02/10 by Andrew F. Bennett, Nathan Kallus, Bennett, Andrew +9 · 1 citation
    Computer Science · Mathematics · #Distributed Sensor Networks and Detection Algorithms #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
  39. Smooth Non-Stationary Bandits
    2023/01/29 by Su Jia, Qian Xie, Jia, Su +5 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Optimization and Search Problems #Auction Theory and Applications
  40. Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
    2025/01/21 by Lars van der Laan, Aurélien Bibaut, van der Laan, Lars +6 · 2 voices · 1 citation
    Engineering · #stat.ME #math.ST #stat.ML
  41. Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
    2023/11/14 by Allen Tran, Aurélien Bibaut, Tran, Allen +3 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
  42. Fast Rates for the Regret of Offline Reinforcement Learning
    2021/01/31 by Yichun Hu, Nathan Kallus, Hu, Yichun +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  43. Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
    2024/03/08 by Alex Ayoub, Kaiwen Wang, Ayoub, Alex +13 · 2 citations
    Business, Management and Accounting · Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
  44. Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
    2025/01/12 by Lars van der Laan, David Hubbard, van der Laan, Lars +7 · 2 citations
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Reinforcement Learning in Robotics #Gaussian Processes and Bayesian Inference
  45. A Human-Augmenting Agentic Workflow for Observational Causal Inference
    2026/07/24 by Winston Chou, Adrien Alexandre, Lars Olds +2 · 1 voice
    #stat.CO #stat.AP
  46. Fitted Occupancy-Ratio Evaluation without Bellman Completeness
    2026/07/28 by Lars van der Laan, Nathan Kallus
    #stat.ML #cs.LG
  47. Semiparametric inference on identification sets in choice modeling
    2026/07/23 by Antoine Scheid, Jia Wan, Guy Aridor +2
    #math.ST #stat.TH