Regression
Copula-like Variational Inference
Marcel Hirt, Petros Dellaportas, Alain Durmus
Neural Information Processing Systems http://nips.cc/
Derivative Estimation in Random Design
Neural Information Processing Systems http://nips.cc/
High Dimensional Linear Regression using Lattice Basis Reduction
Neural Information Processing Systems http://nips.cc/
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
In real-world sequential prediction scenarios, the features (or attributes) of examples are typically high-dimensional and construction of the all features for each example may be expensive or impossible.
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Note that lower values of ฯต and ฮด correspond to stronger privacy.
Iterative Least Trimmed Squares for Mixed Linear Regression
Neural Information Processing Systems http://nips.cc/
Representation Learning for Treatment Effect Estimation from Observational Data
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
Neural Information Processing Systems http://nips.cc/
Multivariate Time Series Imputation with Generative Adversarial Networks
Yonghong Luo, Xiangrui Cai, Ying ZHANG, Jun Xu, Yuan xiaojie
Neural Information Processing Systems http://nips.cc/