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- Partial Modal Tensor Regression
- Resolving the Mobility-Equity-Emissions Trilemma: A Causal Machine Learning Framework for Dynamic Tolling Policy
- Constrained Gradient Equilibrium: Approachability under Locally Constrained Adversaries
- Ask to Learn: Query-Based Collaborative Reinforcement Learning
- Statistical Inference for Bivariate Functional Causal Discovery
- SAKI-RoPE: Score-Aware Low-Rank Key Indexing with RoPE-Aware Covariance and Random-Matrix Noise Analysis
- Minimax PAC Bounds for Learning in Exogenous Contextual MDPs
- Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers
- Convergence of Independence Metropolis-Hastings Algorithms in High Dimensions: Iteration Lengths, Cutoff Profiles, and Diagnostic Unreliability
- Certifying Distributionally Robust Decisions from Projection Observations
- Intrinsic Gradient Barriers in Pushforward Deep Generative Models
- Nonparametric Regression on the Circle with Applications to Climate and Environmental Science
- On maximum likelihood estimation in the β-model for random hypergraphs
- Inference for Causal Path-Specific Effects in Longitudinal Studies with Repeated Treatments and Multiple Mediators
- A functional central limit theorem for particle systems under polynomial growth conditions, with applications to statistics
- Beyond Brown's radial tests: admissibility, parabolicity, and a doubling-Poincaré prior that neither test decides
- Nonlinear Reduced-Bias Extreme Value Index Estimators: A Comparative Study
- Minimax Regret for Sobolev Kernel-Based Reinforcement Learning
- Extreme proxies for causal identification: deconfounding with outliers
- A Nonconvex Framework for Joint Sparse Sample Weighting and Parameter Estimation
- Improving the James-Stein estimator via q-number shrinkage
- The Critical Line Algorithm and the Constrained LASSO: One Curve, Two Literatures
- From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion
- Ultra-high-dimensional spot support screening in continuous-time regression
- The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity