Open Research Index

1,205 records

  1. Notes on Uniform Policy Score Bounds and Lipschitz Continuity for Truncated Gaussian, Product Cauchy, Boltzmann, and Softmax Policies

    Yanjie Dong

    arXivOct 11, 2026stat.MLscore 0

  2. Inference on the Value of Policy Improvement in Adaptive Experiments

    Justin Whitehouse, Emma Brunskill, Vasilis Syrgkanis

    arXivOct 11, 2026stat.MLscore 0

  3. Small area learning

    Katarzyna Reluga, Nicola Salvati, Setareh Ranjbar, Nikos Tzavidis, Mark van der Laan

    arXivOct 11, 2026stat.MEscore 0

  4. Nearly Minimax Rates for Functional Estimation Under Rough Random Design

    P. M. Aronow, Patrick Lopatto

    Palomar RegistryOct 11, 2026stat.MEmachine-checkedscore 0

  5. Prior-Informed Generalizable Low-Rank Representation Learning via Regularized Adversarial Reweighting

    Keyao Zhan, Junwei Lu, Tianxi Cai

    arXivOct 10, 2026stat.MEscore 0

  6. Copula Active Subspaces II: Error Decomposition, A Posteriori Estimation, and Sharpness of the Bounds

    Joshua Chen, Peter Jan van Leeuwen

    arXivOct 10, 2026stat.MEscore 0

  7. The price of a weak shadow variable: inference under nonignorable missingness as relevance vanishes

    Michael Bücker

    arXivOct 10, 2026stat.MEscore 0

  8. Closed forms all the way up: the sample variance of four observations

    Remus Osan

    arXivOct 10, 2026stat.MEscore 0

  9. An efficient stochastic generalized method of moments estimator for nonlinear moment models

    Duy Nguyen

    arXivOct 9, 2026stat.MEscore 0

  10. Sequential Conformal Calibration under Recursive Selection

    Yuning Yang, Zexuan Liu, Tianci Wang, Danlin Li

    arXivOct 9, 2026stat.MEscore 0

  11. Learning by Compression: Risk Estimates Attain the Law-of-Large-Numbers Rate

    Simone Garatti, Marco C. Campi

    arXivOct 9, 2026stat.MLscore 0

  12. Constrained Probabilistic Numerics: Gaussian Process Solvers for Linear PDEs under Linear Inequality Constraints

    Boyuan Deng, Kshitiz Upadhyay, Michael Shields

    arXivOct 9, 2026stat.MLscore 0

  13. A Stochastic Analysis Perspective on Diffusion Models

    Stanislas Strasman

    arXivOct 9, 2026stat.MLscore 0

  14. Accelerating Non-Smooth and Heavy-Tailed Sampling

    Pervez Ali, Xiaoyu Wang, Yingli Wang, Lingjiong Zhu

    arXivOct 8, 2026stat.MLscore 0

  15. Anchored multiple testing: a transparent use of e-closure to improve FDR procedures

    Aaditya Ramdas

    arXivOct 8, 2026stat.MEscore 0

  16. Conditional Kernel Stein Discrepancy

    Federico Matteucci, Florian Kalinke

    arXivOct 8, 2026stat.MLscore 0

  17. Learning structured linear dynamical systems from missing observations

    Aravinda Kanchana Ruwanpathirana, Hemant Tyagi, Sunny G. W. Wang

    arXivOct 8, 2026stat.MLscore 0

  18. RobustLDS: Learning linear dynamical systems under adversarial corruptions

    Aravinda Kanchana Ruwanpathirana, Hemant Tyagi

    arXivOct 8, 2026stat.MLscore 0

  19. Efficient quadratic entropy with distance sketches

    Steve Huntsman

    arXivOct 8, 2026stat.MLscore 0

  20. Testing Algebraic Complete Intersections

    Alessandro Tamai

    arXivOct 8, 2026stat.MLscore 0

  21. Binary Regression for BV Class Conditional Probability

    Rajesh Dachiraju

    HexagonOct 8, 2026stat.THscore 0

  22. A Sensitivity-based Framework for Calibrating Coupled Ordinary Differential Equations under Model Discrepancy

    Mitchel J. Colebank, William Consagra

    arXivOct 7, 2026stat.APscore 0

  23. Sequential resetting procedures and false discovery rate

    Qiuqi Wang, Ruodu Wang, Zhenyuan Zhang

    arXivOct 7, 2026stat.MEscore 0

  24. Finite-Rank Logistic Gaussian Processes with Exact Likelihood for Conditional Density Estimation

    Jaehoan Kim, Indrajit Ghosh, Debdeep Pati, Dipankar Bandyopadhyay

    arXivOct 7, 2026stat.MEscore 0

  25. Reflected Anchored Langevin Algorithms

    Changwei Tu, Xiaoyu Wang, Yingli Wang, Xicheng Zhang, Lingjiong Zhu

    arXivOct 7, 2026stat.MLscore 0

  26. Anchored Reversible Jump Sequential Monte Carlo

    Janna van Assen, Max Hinne

    arXivOct 7, 2026stat.MEscore 0

  27. Multivariate LSTM Modeling for Wastewater Quality Prediction

    Sophie Laruelle, Innocentia Bénédicta Sossou

    arXivOct 7, 2026stat.APscore 0

  28. Gaussian Equivalence for Multi-Head Self-Attention

    Tomohiro Hayase, Ryo Karakida

    arXivOct 7, 2026stat.MLscore 0

  29. Policy Learning with Weak Signals

    Benedikt Koch, Winston Chou, Aurélien Bibaut, Nathan Kallus

    arXivOct 7, 2026stat.MEscore 0

  30. RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations

    Jeongung Heo, Seonghyun Jeong

    arXivOct 7, 2026stat.MLscore 0

  31. Safe Meta-Policy Design with Risk Control

    Wenbin Zhou, Michael Lingzhi Li, Shixiang Zhu

    arXivOct 7, 2026stat.MLscore 0

  32. Calibrating Ambiguity Set via Diagnostic Transport for Distributionally Robust Optimization

    Wenbin Zhou, Elizabeth Cucuzzella, Shixiang Zhu

    arXivOct 7, 2026stat.MLscore 0

  33. The Geometry of Existence and Uniqueness of Maximum Likelihood Estimation in Categorical Response Models

    Lukas Sablica, Kurt Hornik, Thomas Rusch

    arXivOct 6, 2026stat.MEscore 0

  34. Anytime-valid simulation-based hypothesis testing

    Patrick Forré, Lydia Brenner

    arXivOct 6, 2026stat.MLscore 0

  35. Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget

    Pramita Bagchi, Edward Bae, Atish Mitra, Alexander D. Silberman, Žiga Virk, Sushovan Majhi

    arXivOct 6, 2026stat.MEscore 0

  36. Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space

    You Wan, Ting Gao, Jinqiao Duan

    arXivOct 6, 2026stat.MLscore 0

  37. Projected Normal Models on Recursively Curved Tori

    Surojit Biswas, Aron Persson

    arXivOct 6, 2026stat.MEscore 0

  38. Quadratic Weak-to-Strong Generalization in Random Feature Networks via Random Matrix Theory

    Deborah Oliveira, Elliot Paquette

    arXivOct 6, 2026stat.MLscore 0

  39. Sketched Calibration for Conformal Prediction under Covariate Shift

    Mehrdad Pournaderi

    arXivOct 6, 2026stat.MEscore 0

  40. The optimal information complexity of VC learning

    Steve Hanneke, Juexiao Wang

    arXivOct 6, 2026stat.MLscore 0

  41. On the Sequentially Semiseparable Structure of SDE-Induced Kernels and Efficient Algorithms for Kernel-Based Estimation Problems

    Mikkel Paltorp, Luigi Caglio, Tianshi Chen, Evangelos Katsanos, Martin S. Andersen

    arXivOct 5, 2026stat.MLscore 0

  42. Finite-Sample Distribution Theory and Efficient Large-Scale Inference for Online Quantile Regression

    Ziyang Wei, Jiaqi Li, Lan Wang, Wei Biao Wu

    arXivOct 5, 2026stat.MLscore 0

  43. Reading Multiple Regression from an Ellipsoid Inscribed in the Unit Hypercube

    Toshiyuki Shimono

    arXivOct 5, 2026stat.MEscore 0

  44. Data Fusion for Errors-in-Variables

    Huali Zhao, Molei Liu, Tianying Wang

    arXivOct 5, 2026stat.MLscore 0

  45. Poisson empirical Bayes estimation of sums of random variables via minimum-distance methods

    Stefano Favaro, Sandra Fortini, Soham Jana

    arXivOct 5, 2026stat.MEscore 0

  46. Assumption-lean logistic regression with missing covariates

    Jyotishka Ray Choudhury, Kabir Aladin Verchand, Richard J. Samworth, Ashwin Pananjady

    arXivOct 5, 2026stat.MLscore 0

  47. A Statistical Inference Framework for PMI Estimation and SGNS Word Embeddings

    Zhongqi Fan

    arXivOct 4, 2026stat.MLscore 0

  48. Regression models for ordinal compositional data

    Beniamino Cappelletti-Montano; Monica Musio; Nicola Piras

    arXivOct 4, 2026stat.MEscore 0

  49. Semi-Supervised Kernel Ridge Fréchet Regression

    Jaehee Seo, Kwangho Kim, Jisu Kim

    arXivOct 4, 2026stat.MEscore 0

  50. Taylor Representations for Model-Free RL in Networked MDPs

    Salah Chikhi, Abdelhaq Chaoui, Asuman Ozdaglar, Saurabh Amin

    arXivOct 4, 2026stat.MLscore 0

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