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Almost sure null bankruptcy of testing-by-betting strategies COLT 2026 A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance COLT 2026 Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means UAI 2026 Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise UAI 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 Coarsening Bias from Variable Discretization in Causal Functionals UAI 2026 Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information JMLR 2026 Deconvolution in unlinked linear models JMLR 2026 Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 Deep Nonparametric Conditional Independence Tests for Images JMLR 2026 Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation UAI 2026 Generalized Resubstitution for Regression Error Estimation JMLR 2026 High-Dimensional Gaussian Mean Estimation under Realizable Contamination COLT 2026 Improving online FDR procedures via online analogs of e-closure and compound e-values UAI 2026 Inference for quantile-parametrized families via CDF confidence bands UAI 2026 Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Kernel Integrated R^2: A Measure of Dependence UAI 2026 Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget (extended abstract) COLT 2026 Linear Regression under Missing or Corrupted Coordinates COLT 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry COLT 2026 Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions COLT 2026