← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4076 directly classified papers

Papers per year

Papers

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes NIPS 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NIPS 2024
How to Evaluate Behavioral Models AAAI 2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NIPS 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NIPS 2024
Online Distribution Learning with Local Privacy Constraints AISTATS 2024
Rates of convergence for density estimation with generative adversarial networks JMLR 2024
Working Memory Capacity of ChatGPT: An Empirical Study AAAI 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Improved Regret of Linear Ensemble Sampling NIPS 2024
Piecewise-Stationary Bandits with Knapsacks NIPS 2024
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM NIPS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Online Consistency of the Nearest Neighbor Rule NIPS 2024
Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NIPS 2024