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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Statistical Learning
4076 directly classified papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Nowcasting Temporal Trends Using Indirect Surveys
AAAI 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
NIPS 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
NIPS 2024
Is Score Matching Suitable for Estimating Point Processes?
NIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model
NIPS 2024
Learning from many trajectories
JMLR 2024
Model Collapse Demystified: The Case of Regression
NIPS 2024
Capturing the denoising effect of PCA via compression ratio
NIPS 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
NIPS 2024
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
NIPS 2024
Testing Semantic Importance via Betting
NIPS 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
NIPS 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
NIPS 2024
A two-scale Complexity Measure for Deep Learning Models
NIPS 2024
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
NIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NIPS 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
NIPS 2024
ConStat: Performance-Based Contamination Detection in Large Language Models
NIPS 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
ACL 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
NIPS 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NIPS 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
NIPS 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
CVPR 2024
Estimating the Hallucination Rate of Generative AI
NIPS 2024
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