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Nathan Kallus

Identifiers

  • name variant Nathan Kallus 0.60 · backfill

Papers (38)

  1. Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach cs.LG · 2026 · author #4
  2. Semiparametric Efficient Bilevel Gradient Estimation stat.ML · 2026 · author #3
  3. The Context Gathering Decision Process: A POMDP Framework for Agentic Search cs.AI · 2026 · author #3
  4. Instrumental Variable Analysis Without Structural Equations stat.ML · 2026 · author #5
  5. Functional Natural Policy Gradients stat.ML · 2026 · author #4
  6. Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry stat.ME · 2026 · author #2
  7. Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration stat.ML · 2025 · author #2
  8. Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting stat.ML · 2025 · author #2
  9. Bellman Calibration for $V$-Learning in Offline Reinforcement Learning stat.ML · 2025 · author #2
  10. Fast Best-in-Class Regret for Contextual Bandits stat.ML · 2025 · author #4
  11. Entropy After </Think> for reasoning model early exiting cs.LG · 2025 · author #4
  12. Inverse Reinforcement Learning with Just Classification and a Few Regressions cs.LG · 2025 · author #2
  13. Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning cs.LG · 2019 · author #1
  14. Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds stat.ML · 2019 · author #1
  15. The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric cs.LG · 2019 · author #1
  16. Classifying Treatment Responders Under Causal Effect Monotonicity stat.ML · 2019 · author #1
  17. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved stat.AP · 2018 · author #2
  18. More robust estimation of sample average treatment effects using Kernel Optimal Matching in an observational study of spine surgical interventions stat.ME · 2018 · author #1
  19. Removing Hidden Confounding by Experimental Grounding stat.ML · 2018 · author #1
  20. Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding stat.ML · 2018 · author #1
  21. Residual Unfairness in Fair Machine Learning from Prejudiced Data stat.ML · 2018 · author #1
  22. Causal Inference with Noisy and Missing Covariates via Matrix Factorization stat.ML · 2018 · author #1
  23. Learning Weighted Representations for Generalization Across Designs stat.ML · 2018 · author #2
  24. Policy Evaluation and Optimization with Continuous Treatments stat.ML · 2018 · author #1
  25. DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training stat.ML · 2018 · author #1
  26. Balanced Policy Evaluation and Learning stat.ML · 2017 · author #1
  27. Instrument-Armed Bandits stat.ML · 2017 · author #1
  28. Generalized Optimal Matching Methods for Causal Inference stat.ML · 2016 · author #1
  29. Dynamic Assortment Personalization in High Dimensions stat.ML · 2016 · author #1
  30. Recursive Partitioning for Personalization using Observational Data stat.ML · 2016 · author #1
  31. A Framework for Optimal Matching for Causal Inference stat.ME · 2016 · author #1
  32. The Power and Limits of Predictive Approaches to Observational-Data-Driven Optimization math.OC · 2016 · author #2
  33. Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices stat.ML · 2015 · author #1
  34. Robust Sample Average Approximation math.OC · 2014 · author #3
  35. From Predictive to Prescriptive Analytics stat.ML · 2014 · author #2
  36. Predicting Crowd Behavior with Big Public Data cs.SI · 2014 · author #1
  37. Data-Driven Robust Optimization math.OC · 2013 · author #3
  38. Optimal A Priori Balance in the Design of Controlled Experiments math.ST · 2013 · author #1

Mentions

  • 2603.25971 #2 · arxiv_oai · confidence 0.70 Nathan Kallus
  • 1408.4445 #3 · backfill · confidence 0.70 Nathan Kallus
  • 1402.5481 #2 · backfill · confidence 0.70 Nathan Kallus
  • 1402.2308 #1 · backfill · confidence 0.70 Nathan Kallus
  • 1401.0212 #3 · backfill · confidence 0.70 Nathan Kallus
  • 1312.0531 #1 · backfill · confidence 0.70 Nathan Kallus
  • 2605.27834 #4 · arxiv_oai · confidence 0.70 Nathan Kallus
  • 2605.21341 #3 · arxiv_oai · confidence 0.70 Nathan Kallus

Frequent Coauthors