Regression

Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations Interspeech 2020 Shallow Feature Based Dense Attention Network for Crowd Counting AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) AAAI 2020 Siamese Box Adaptive Network for Visual Tracking CVPR 2020 Significance Tests for Neural Networks JMLR 2020 Single Image Reflection Removal Through Cascaded Refinement CVPR 2020 Sinkhorn Regression IJCAI 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 Skewness Ranking Optimization for Personalized Recommendation UAI 2020 Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory JMLR 2020 SLIP: Learning to predict in unknown dynamical systems with long-term memory NeurIPS 2020 Smaller, more accurate regression forests using tree alternating optimization ICML 2020 Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems AAAI 2020 Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating SemEval 2020 Smooth And Consistent Probabilistic Regression Trees NeurIPS 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 SNODE: Spectral Discretization of Neural ODEs for System Identification ICLR 2020 SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation SemEval 2020 Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020 Sparse and low-rank multivariate Hawkes processes JMLR 2020 Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020 Sparse Learning with CART NeurIPS 2020 Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020