Statistical Learning
4,564 papers
Papers per year
2
8
9
7
9
35
42
41
45
70
79
85
113
128
110
150
162
210
299
399
445
487
621
569
324
115
'5
'10
'15
'20
'25
Papers
Efficient Agnostic Learning with Average Smoothness
ALT 2024
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
AAAI 2024
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
NeurIPS 2024
Efficient Modality Selection in Multimodal Learning
JMLR 2024
Efficient multi-prompt evaluation of LLMs
NeurIPS 2024
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
NeurIPS 2024
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
ICLR 2024
Empirical Design in Reinforcement Learning
JMLR 2024
Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies
COLING 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
AISTATS 2024
Estimating Conditional Mutual Information for Dynamic Feature Selection
ICLR 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NeurIPS 2024
Estimating Shape Distances on Neural Representations with Limited Samples
ICLR 2024
Estimating the Hallucination Rate of Generative AI
NeurIPS 2024
Estimating the Replication Probability of Significant Classification Benchmark Experiments
JMLR 2024
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator
JMLR 2024
Evaluating Automatic Subtitling: Correlating Post-editing Effort and Automatic Metrics
COLING 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
EMNLP 2024
Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context
ACL 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NeurIPS 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
ACL 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data
JMLR 2024
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
JMLR 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024