Statistical Learning

Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer ICML 2025 Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory ICLR 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches NAACL 2025 MemeQA: Holistic Evaluation for Meme Understanding ACL 2025 Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025 metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models ICLR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 Model Equality Testing: Which Model is this API Serving? ICLR 2025 Most Probable Explanation in Probabilistic Answer Set Programming IJCAI 2025 Multi-Dimensional Conformal Prediction ICLR 2025 Neural Networks Perform Sufficient Dimension Reduction AAAI 2025 Noisy Computing of the Threshold Function ALT 2025 No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks NAACL 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions ICLR 2025 On adaptivity and minimax optimality of two-sided nearest neighbors AISTATS 2025 ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy ICML 2025 On Inference for the Support Vector Machine JMLR 2025