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Regression

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Papers

Guessing the Age of Acquisition of Italian Lemmas through Linear Regression EMNLP 2020
Multi-task Peer-Review Score Prediction EMNLP 2020
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. EMNLP 2020
Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage EMNLP 2020
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task EMNLP 2020
Unbabel’s Participation in the WMT20 Metrics Shared Task EMNLP 2020
TMUOU Submission for WMT20 Quality Estimation Shared Task EMNLP 2020
Tencent submission for WMT20 Quality Estimation Shared Task EMNLP 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares ICML 2020
Safe screening rules for L0-regression from Perspective Relaxations ICML 2020
Fast OSCAR and OWL Regression via Safe Screening Rules ICML 2020
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers ICML 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020
Estimating the Number and Effect Sizes of Non-null Hypotheses ICML 2020
Boosted Histogram Transform for Regression ICML 2020
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing ICML 2020
On Coresets for Regularized Regression ICML 2020
Healing Products of Gaussian Process Experts ICML 2020
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors ICML 2020
Randomly Projected Additive Gaussian Processes for Regression ICML 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020
Generalization Error of Generalized Linear Models in High Dimensions ICML 2020
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions ICML 2020
Generalisation error in learning with random features and the hidden manifold model ICML 2020
Online Multi-Kernel Learning with Graph-Structured Feedback ICML 2020