Statistical Learning
4,564 papers
Papers per year
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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