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← Core Methods
Machine Learning
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Core Methods
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Regression
4,964 papers
Papers per year
2000: 1
2001: 4
2002: 2
2003: 3
2004: 2
2005: 7
2006: 27
2007: 38
2008: 49
2009: 58
2010: 72
2011: 62
2012: 74
2013: 122
2014: 120
2015: 146
2016: 232
2017: 276
2018: 313
2019: 414
2020: 509
2021: 564
2022: 506
2023: 492
2024: 488
2025: 262
2026: 121
Papers
Misspecified Phase Retrieval with Generative Priors
NIPS 2022
Size and depth of monotone neural networks: interpolation and approximation
NIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
NIPS 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space
NIPS 2022
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
NIPS 2022
Physics-Informed Implicit Representations of Equilibrium Network Flows
NIPS 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
NIPS 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints
NIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
NIPS 2022
Private Isotonic Regression
NIPS 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
NIPS 2022
Learning single-index models with shallow neural networks
NIPS 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression
NIPS 2022
End-to-end Symbolic Regression with Transformers
NIPS 2022
Temporally-Consistent Survival Analysis
NIPS 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
NIPS 2022
Hierarchical Lattice Layer for Partially Monotone Neural Networks
NIPS 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
NIPS 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
NIPS 2022
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
NIPS 2022
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
NIPS 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
NIPS 2022
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