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- A LATE-Targeting Experimental Design for Multi-Arm RCTs
- Interdomain Attention: Beyond Token-Level Key-Value Memory
- Optimal Rényi and Logarithmic Additive Functional Entropy Estimation
- From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning
- Universality of approximate message passing under a fourth-moment tail condition
- Boot-AVT: Asymptotically Anytime-Valid Testing with Degenerate U-Statistics via Bootstrap
- Borrowing Strength Across Stores: Transfer Learning for Choice-Based Revenue Management
- A Duality of the F Distribution
- Dual-Phase Flow Matching for Probabilistic Source Detection and Measurement in Astronomical Images
- A general class of shared gamma frailty models for risk prediction, with application to breast cancer screening adherence
- Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Planning Tasks
- Exact Covariance Structure and Efficient Computation for L-Comoments
- Interpretable subgroup identification across survival and generalized-linear outcomes
- RECAP: Representation-Based Calibration with Amortized Pooling for Frequentist Simulation-Based Inference
- Stabilizing Filters for Graph Signal Generation
- Debiased Prior-Data Fitted Networks for Amortized Bayesian Semi-Parametric Inference
- Diversity, Efficiency, and Incentives in Political Prediction Markets
- Composite Variable Strategies for Continuous Endpoints
- Bayesian nonparametric mixtures of asymmetric Archimedean copulas
- Geometry-Aware Block Selection for Sparse Variational Gaussian Processes
- Where Has the Foreign Signal Gone?
- Efficient Bayesian Filtering and Inference for Integro-Difference Equation Models
- Predicting silent failures of learned inference under restricted access: what measurement physics and prior information explain
- Near-Optimal Regret Bounds for UCB-Style Gaussian Process Bandits via Data Thinning
- When Does Training on Synthetic Data Provably Work?