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- Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification
- Differentially Private Learning of Markov Chains: Near-Optimal Sample Complexity for Item and User Level Privacy
- Principled Design of Expected Improvement for Continuous Simulation Optimization
- When Treatments Spill Over: A Neural Framework for Spatiotemporal Causal Effect Estimation
- Strong Gaussian Approximation of Constant Learning Rate SGD: Bias and Trajectory Inference
- A Functional Representation of Credit Behavior for Probability of Default Modeling
- Predictively Oriented Gaussian Process Posteriors
- Amortized ratio-estimation importance sampling and localized simulation-based calibration for intractable likelihoods
- The Efficient Frontier from a LASSO Solver
- Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning
- Estimating Causal Treatment Effects in Placebo-Controlled Randomized Clinical Trials When High Placebo Response is Anticipated
- Non-Invariance in Nested Prediction Models under Selective Predictor Availability
- Log-regularly varying scale mixture of asymmetric Laplaces for robust Bayesian quantile regression
- Comparing SGLD and a fixed-noise predictor-corrector adaptation in canonical joint energy-based models on CIFAR-10
- Two Gaussians, Too Many: A bootstrap-based approach to assess identifiability in non-Gaussian structural vector autoregressions
- Improving Mendelian Randomization Analysis by Instrument Borrowing from Auxiliary Outcome Traits
- Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs
- Memory by Design: Bayesian Layers for Sequence Modeling
- Change-point detection in variance-covariance matrix
- Tracking a Small Set of Experts in Online Convex Optimization
- When Does Momentum Help in Reinforcement Learning with Verifiable Rewards?
- Drift parameter estimation for interacting particle systems with singular repulsion
- MCMC Can See Can't See
- Minimax estimation of the pseudo-spectral gap of continuous Markov chains, with applications to empirical concentration bounds
- A New Perspective on Cumulative Residual Rényi Entropy