Statistical Learning
4,564 papers
Papers per year
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Papers
Better-than-KL PAC-Bayes Bounds
COLT 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
AISTATS 2024
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation
COLT 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NeurIPS 2024
BizBench: A Quantitative Reasoning Benchmark for Business and Finance
ACL 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
CVPR 2024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
NeurIPS 2024
Breaking the curse of dimensionality in structured density estimation
NeurIPS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
AISTATS 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
AISTATS 2024
Calibrating Long-form Generations From Large Language Models
EMNLP 2024
Capturing the denoising effect of PCA via compression ratio
NeurIPS 2024
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
NeurIPS 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
NeurIPS 2024
Cautionary Tales on Synthetic Controls in Survival Analyses
CLeaR 2024
Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation
COLT 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
NeurIPS 2024
Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks
JMLR 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
JMLR 2024
Clustering Items From Adaptively Collected Inconsistent Feedback
AISTATS 2024
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
NeurIPS 2024
Combining Grammatical and Relational Approaches. A Hybrid Method for the Identification of Candidate Collocations from Corpora
COLING 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
NeurIPS 2024
Community detection in the hypergraph stochastic block model and reconstruction on hypertrees
COLT 2024