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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
Spectral Mixture Kernels for Multi-Output Gaussian Processes
NIPS 2017
Convolutional Gaussian Processes
NIPS 2017
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis
JMLR 2017
Stabilized Sparse Online Learning for Sparse Data
JMLR 2017
On the Consistency of Ordinal Regression Methods
JMLR 2017
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect
JMLR 2017
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
ICML 2017
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features
SEMEVAL 2017
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification
SEMEVAL 2017
Nearly Optimal Robust Matrix Completion
ICML 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
ICML 2017
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
SEMEVAL 2017
A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese
EACL 2017
Predicting Automatic Speech Recognition Performance Over Communication Channels from Instrumental Speech Quality and Intelligibility Scores
INTERSPEECH 2017
Temporal Orientation of Tweets for Predicting Income of Users
ACL 2017
Alternating Estimation for Structured High-Dimensional Multi-Response Models
NIPS 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
ICML 2017
Learning Kernels over Strings using Gaussian Processes
IJCNLP 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications
ICML 2017
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
IJCAI 2017
Learning Discriminative Recommendation Systems with Side Information
IJCAI 2017
Instability Prediction in Power Systems using Recurrent Neural Networks
IJCAI 2017
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
IJCAI 2017
Hybrid Neural Networks for Learning the Trend in Time Series
IJCAI 2017
Multimodal Prediction of Affective Dimensions via Fusing Multiple Regression Techniques
INTERSPEECH 2017
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