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Period ending 2026-09-21

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Period ending 2026-09-14

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  1. Reliable Selection of Heterogeneous Treatment Effect Estimators

    Nov 23, 2025Jiayi Guo, Zijun GaoHeterogeneous Treatment EffectsTreatment Effect

  2. DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

    Oct 20, 2025Kyum Kim, Yaqing Chen, Paromita DubeyNeural-Network ApproximationDeep Network

  3. Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

    Jun 27, 2025Xiang Li, Garrett Wen, Weiqing He +3Large Language Model WatermarksWatermarking

  4. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference

    May 26, 2025Pranav Mani, Peng Xu, Zachary C. Lipton +1Finite-SampleNoisy Labels

  5. Improved generalization bounds for binary linear classification via isoperimetry

    May 22, 2025Shogo NakakitaGeneralization BoundsConcentration Inequalities

  6. Online simultaneous inference for quantiles via smoothed stochastic gradient descent

    May 19, 2025Likai Chen, Georg Keilbar, Wei Biao WuQuantile RegressionEstimators

  7. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthImputationNonparametric

  8. TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level Labels

    Apr 17, 2025Siow Meng Low, Ze Gong, Akshat KumarSafety ConstraintsTrajectory Prediction

  9. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Temporal DifferenceValue Functions

  10. Decentralized Best-Response-Based Learning in Two-Player Zero-Sum Stochastic Games: A Finite-Sample Analysis

    Sep 2, 2024Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar +2Zero--Sum Differential GameImperfect-Information Games

  11. Generalization error of min-norm interpolators in transfer learning

    Jun 20, 2024Yanke Song, Kenneth Gu, Sohom Bhattacharya +1InterpolationEmpirical Risk Minimization

  12. Estimation of multiple mean vectors in high dimension

    Mar 22, 2024Gilles Blanchard, Jean-Baptiste Fermanian, Hannah MarienwaldEstimators

  13. A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures

    Nov 28, 2022MirSaleh Bahavarnia, Hiba Baroud, Yu Wang +1Complex NetworksInfrastructure

  14. Learning from a Biased Sample

    Sep 5, 2022Roshni Sahoo, Lihua Lei, Stefan WagerEmpirical Risk MinimizationSelection Bias

  15. Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification

    Jan 6, 2022Saptarshi Chakraborty, Debolina Paul, Swagatam DasEstimatorsFinite Time Analysis

  16. Multiply Robust Causal Mediation Analysis with Continuous Treatments

    May 19, 2021Yizhen Xu, AmirEmad Ghassami, Numair Sani +1Causal Mediation AnalysisEstimators

  17. Analytical Standard Errors for Exploratory Factor Solutions

    Nov 12, 2018Xingwei Hu, Caihong Hu, Cheng-Kuang WuExploratory Factor AnalysisHeteroskedasticity

  18. Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases

    Date pendingAlkis Kalavasis, Anay Mehrotra, Felix ZhouEstimatorsOptimal Sample Complexity

  19. Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects

    Date pendingAnish Agarwal, Sukjin Han, Dwaipayan Saha +2Synthetic SamplesTreatment Effect