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Regression

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Papers

WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines SEMEVAL 2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model SEMEVAL 2020
Robust modal regression with direct gradient approximation of modal regression risk UAI 2020
Skewness Ranking Optimization for Personalized Recommendation UAI 2020
Neural Likelihoods via Cumulative Distribution Functions UAI 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Deep Sigma Point Processes UAI 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles UAI 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020
Gaze Estimation for Assisted Living Environments WACV 2020
Real-time vehicle distance estimation using single view geometry WACV 2020
Toward Explainable Fashion Recommendation WACV 2020
Estimate 3D Camera Pose from 2D Pedestrian Trajectories WACV 2020
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions WACV 2020
Predicting the Physical Dynamics of Unseen 3D Objects WACV 2020
Multi-resolution Multi-task Gaussian Processes NIPS 2019
First order expansion of convex regularized estimators NIPS 2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization NIPS 2019
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NIPS 2019
Reliable training and estimation of variance networks NIPS 2019
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NIPS 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation NIPS 2019
Minimizers of the Empirical Risk and Risk Monotonicity NIPS 2019