Regression

PSENet: Psoriasis Severity Evaluation Network AAAI 2020 Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP ICLR 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Quantifying Intimacy in Language EMNLP 2020 Quantile Graphical Models: a Bayesian Approach JMLR 2020 Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation Interspeech 2020 Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020 Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success JMLR 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Randomly Projected Additive Gaussian Processes for Regression ICML 2020 Rank Aggregation via Heterogeneous Thurstone Preference Models AAAI 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control IJCAI 2020 Real-time vehicle distance estimation using single view geometry WACV 2020 Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020 Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data COLING 2020 Regression under Human Assistance AAAI 2020 Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information JMLR 2020 Regression with reject option and application to kNN NeurIPS 2020 Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models JMLR 2020 Rescuing neural spike train models from bad MLE NeurIPS 2020 Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments COLING 2020 Revisiting the Sibling Head in Object Detector CVPR 2020 Ridge Regression: Structure, Cross-Validation, and Sketching ICLR 2020 Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses AISTATS 2020