Regression

Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance CVPR 2019 Prediction Risk for the Horseshoe Regression JMLR 2019 Probabilistic Deep Ordinal Regression Based on Gaussian Processes ICCV 2019 Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019 Progressive Speech Enhancement with Residual Connections Interspeech 2019 Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019 Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech Interspeech 2019 Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings ACL 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 RaFM: Rank-Aware Factorization Machines ICML 2019 Ranking Passages for Argument Convincingness ACL 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Recommender Systems: A Healthy Obsession AAAI 2019 Reduced Task Adaptation in Alternating Motion Rate Tasks as an Early Marker of Bulbar Involvement in Amyotrophic Lateral Sclerosis Interspeech 2019 Reducing training time by efficient localized kernel regression AISTATS 2019 Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks Interspeech 2019 Regression or classification? Automated Essay Scoring for Norwegian ACL 2019 Regularization in directable environments with application to Tetris ICML 2019 Regularized Contextual Bandits AISTATS 2019 Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews EMNLP 2019 Relational Attention Network for Crowd Counting ICCV 2019 Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019 Reliable training and estimation of variance networks NeurIPS 2019 Residual Regression With Semantic Prior for Crowd Counting CVPR 2019 Revisiting Perspective Information for Efficient Crowd Counting CVPR 2019