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Statistical Learning

4,564 papers

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Papers

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy ICLR 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Differentially Private Conditional Independence Testing AISTATS 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Dimension-free deterministic equivalents and scaling laws for random feature regression NeurIPS 2024 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms JMLR 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Distribution Aware Metrics for Conditional Natural Language Generation COLING 2024 Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024 Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA EMNLP 2024 Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages COLING 2024 Domain Generalisation via Risk Distribution Matching WACV 2024 DoubleLingo: Causal Estimation with Large Language Models NAACL 2024 Do we EXPECT TO find phonetic traces for syntactic traces? Interspeech 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024 DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NeurIPS 2024 Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NeurIPS 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024