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Statistical Learning

4076 directly classified papers

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Papers

Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation IJCNLP 2025
From Words to Worth: Newborn Article Impact Prediction with LLM AAAI 2025
Shapley Consensus Deep Learning for Ensemble Pruning WACV 2025
Most Probable Explanation in Probabilistic Answer Set Programming IJCAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025
Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025
Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard NAACL 2025
InspectorRAGet: An Introspection Platform for RAG Evaluation NAACL 2025
Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions NAACL 2025
Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025
Achievable Fairness on Your Data With Utility Guarantees NIPS 2024
Instance-Specific Asymmetric Sensitivity in Differential Privacy NIPS 2024
Theoretical guarantees in KL for Diffusion Flow Matching NIPS 2024
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NIPS 2024
Sequential Harmful Shift Detection Without Labels NIPS 2024
Weak Supervision Performance Evaluation via Partial Identification NIPS 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NIPS 2024
Near-Optimality of Contrastive Divergence Algorithms NIPS 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
Improved Regret of Linear Ensemble Sampling NIPS 2024
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding NIPS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NIPS 2024
Sample-Efficient Private Learning of Mixtures of Gaussians NIPS 2024
Toward Conditional Distribution Calibration in Survival Prediction NIPS 2024