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Regression

195 directly classified papers

Papers per year

Papers

NOMU: Neural Optimization-based Model Uncertainty ICML 2022
A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021
A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021
Asymptotics of Ridge(less) Regression under General Source Condition AISTATS 2021
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Histogram Transform Ensembles for Large-scale Regression JMLR 2021
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021
Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021
Online A-Optimal Design and Active Linear Regression ICML 2021
In-Database Regression in Input Sparsity Time ICML 2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021
Delving into Deep Imbalanced Regression ICML 2021
The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation INTERSPEECH 2021
Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale INTERSPEECH 2021
Pose Recognition With Cascade Transformers CVPR 2021
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents AAAI 2021
From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions AAAI 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data AAAI 2021
Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ACL 2021
Tsia at SemEval-2021 Task 7: Detecting and Rating Humor and Offense ACL 2021
Patch-VQ: 'Patching Up' the Video Quality Problem CVPR 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021
Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021