Multi-objective optimization with semi-adversarial neural networks: A novel approach for multiple criteria decision making with applications to privacy protection in face image databases
Least squares estimation: beyond Gaussian regression models
Causal Inference with Unmeasured Confounding: an Instrumental Variable Approach
Parametric and Nonparametric Models for Higher-order Interactions.
Identifying Linear Dynamical Systems with Stochastic Forcing
Testing One Hypothesis Multiple Times: a simple tool for generalized inference
Statistical Learning for Time Dependent Data
Randomization Inference for Peer Effects