Regression

Enhancing No-Reference Speech Quality Assessment with Pairwise, Triplet Ranking Losses, and ASR Pretraining Interspeech 2024 ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024 Entrainment Analysis and Prosody Prediction of Subsequent Interlocutor’s Backchannels in Dialogue Interspeech 2024 EPOQUE: An English-Persian Quality Estimation Dataset COLING 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Evaluating a 3-factor listener model for prediction of speech intelligibility to hearing-impaired listeners Interspeech 2024 Evaluating language models as risk scores NeurIPS 2024 Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse COLING 2024 Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NeurIPS 2024 Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 FB-GAN: A Novel Neural Sentiment-Enhanced Model for Stock Price Prediction COLING 2024 FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation NeurIPS 2024 Financial Forecasting from Textual and Tabular Time Series EMNLP 2024 Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions NAACL 2024 Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NeurIPS 2024 FineMorphs: Affine-Diffeomorphic Sequences for Regression JMLR 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NeurIPS 2024