Large scale inference with structural information 

Conformalized post-selection inference and structured prediction 

Understanding diffusion process: inference and theory 

Information geometry of annealing paths for inference and estimation 

High dimensional estimation and inference with side information 

Topics in selective inference and replicability analysis 

Inferring gene flow across spatial landscapes 

Shrinkage methods for big and complex data analysis 

Side-channel security enabled by program analysis and synthesis 

Deep generative models for time series counterfactual inference 

Exploiting side information for link setup and maintenance in next generation wireless networks 

Physics-based data-driven inference 

Statistical methods for causal inference and densely dependent random sums 

Statistical insights into deep learning and flexible causal inference 

Diffusion network inference and analysis for disinformation mitigation 

Inference of computational models of tendon networks via sparse experimentation 

Scalable exact inference in probabilistic graphical models on multi-core platforms 

USC Computer Science Technical Reports, no. 916 (2010) 

Stochastic inference for deterministic systems: normality and beyond 

Closing the reality gap via simulation-based inference and control 

Statistical learning in High Dimensions: Interpretability, inference and applications 

Essays on quality screening in two-sided markets 

Essays on causal inference 

Leveraging sparsity in theoretical and applied machine learning and causal inference 

Large-scale multiple hypothesis testing and simultaneous inference: compound decision theory and data driven procedures