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Methodology
← Core Methods
Machine Learning
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Core Methods
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Regression
4964 directly classified 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
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs
EMNLP 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators
AISTATS 2024
Nonparametric Regression for 3D Point Cloud Learning
JMLR 2024
Optimal Weighted Random Forests
JMLR 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Plug-in Language Model: Controlling Text Generation with a Simple Regression Model
NAACL 2024
Policy Learning for Localized Interventions from Observational Data
AISTATS 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation
JMLR 2024
Random Forest Weighted Local Fréchet Regression with Random Objects
JMLR 2024
NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual Relatedness
NAACL 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
JMLR 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport
JMLR 2024
GGD: Grafting Gradient Descent
JMLR 2024
Differentially private methods for managing model uncertainty in linear regression
JMLR 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
JMLR 2024
Unsupervised Tree Boosting for Learning Probability Distributions
JMLR 2024
ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data
JMLR 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model
JMLR 2024
Deep Nonparametric Quantile Regression under Covariate Shift
JMLR 2024
Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors
JMLR 2024
On Using Admissible Bounds for Learning Forward Search Heuristics
IJCAI 2024
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators
AISTATS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class?
AISTATS 2024
Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models
SEMEVAL 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting
IJCAI 2024
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