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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
Improved Bound on Generalization Error of Compressed KNN Estimator
AISTATS 2023
Unifying local and global model explanations by functional decomposition of low dimensional structures
AISTATS 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
AISTATS 2023
Towards Effective Long-Form QA with Evidence Augmentation
EMNLP 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery
AISTATS 2023
MEE4 and XLsim : IIIT HYD’s Submissions’ for WMT23 Metrics Shared Task
EMNLP 2023
Is interpolation benign for random forest regression?
AISTATS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
AISTATS 2023
Validation of a Task-Independent Cepstral Peak Prominence Measure with Voice Activity Detection
INTERSPEECH 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
AISTATS 2023
Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification
EMNLP 2023
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
CVPR 2023
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence
CVPR 2023
Coordinate Descent for SLOPE
AISTATS 2023
Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting
EMNLP 2023
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
CVPR 2023
Mean Parity Fair Regression in RKHS
AISTATS 2023
ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis
ACL 2023
MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task
EMNLP 2023
Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial Regression
AISTATS 2023
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
CVPR 2023
Robust Linear Regression for General Feature Distribution
AISTATS 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
NIPS 2023
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
CVPR 2023
Comparing and Predicting Eye-tracking Data of Mandarin and Cantonese
EACL 2023
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