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- Pro-Active Inference
- Heterogeneity and Subgrouping in Modern Statistics and AI
- The Effect of Residual Confounding in the Analysis of Large Observational Data Sets
- Semiparametric inference for a Target Outcome Leveraging Heterogeneous External Summaries of Auxiliary Outcomes
- Width and Depth Limits Commute During Training in Linear Residual Networks
- Vector Copula-Based Markov Models
- Announced Breaks Separate Conformal Reliability from Frequency Calibration
- SNACK: A Sequential Notation Framework for Probabilistic Graph Generation
- Latent-driven Imputation and Forecasting for partially observed Time Series (LIFTS)
- Bayesian Generalized Network Autoregressive Model with Structured Shrinkage and Persistence Priors
- Bias-robust causal inference for panel data
- High-Dimensional Change Point Analysis for Temporally Dependent Data
- Divide et Calibra: Multiclass Local Calibration via Vector Quantization
- Median Radial Function: A Robust, Covariance-Free Framework and Applications
- Unified Approach for Weakly Supervised Multicalibration
- Comparing Measurements of Pictorial Depth: Conditions for Placing Methods, Observers and Depiction Styles on One Scale
- Multivariate Augmented Prediction-Powered Survival Inference for EHR Association Studies With Limited Chart Review
- Optimal tradeoffs between variance and sensitivity, via Hellinger-Kantorovich geometry
- Recertifying decisions via e-closure: uniform improvements of conformal risk control and randomized e-BH
- Persistence Pays: Square-root condition-number dependence for Metropolis-adjusted kinetic Langevin Monte Carlo with a non-reversibly updated accept/reject uniform
- Whittle--Matérn metrics and isotropic Gaussian processes on compact metric graphs
- Optimal Priors for Betting Tests with Bounded Payoffs: An Exact Expected-Time Characterization
- Provably Efficient Q-learning for Robust Reinforcement Learning
- Distribution-free predictive inference with instrumental variables
- Minimax Rates for Conditional Generative Learning under Wasserstein Loss