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2. Inference in ERGMs and Ising Models.
3. Toward Annotation Efficiency in Biased Learning Settings for Natural Language Processing
4. Advances in Machine Learning for Complex Structured Functional Data
5. Advances in Machine Learning for Compositional Data
6. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing
7. Latent Variable Models for Events on Social Networks
8. Learning predictive models from menstrual cycle data
9. Modeling Random Events
10. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling
11. On Recovering the Best Rank-? Approximation from Few Entries
12. Overlapping Communities on Large-Scale Networks: Benchmark Generation and Learning via Adaptive Stochastic Optimization
13. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning
14. Statistical approach to tagging stellar birth groups in the Milky Way
15. Statistical Perspectives on Modern Network Embedding Methods
16. A Cognitively Diagnostic Modeling Approach to Diagnosing Misconceptions and Subskills
17. A Computational Perspective of Causal Inference and the Data Fusion Problem
18. Advances in Statistical Machine Learning Methods for Neural Data Science
19. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts
20. Causal Mediation Analysis for Effect Heterogeneity
21. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles
22. Deconvolution Problems for Structured Sparse Signal
23. Essays in Applied Econometrics and Labor Economics
24. Event History Analysis in Multivariate Longitudinal Data
25. Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status
26. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices
27. Meta-analyzing logistic regression slopes: A partial effect size for categorical outcomes
28. Modeling the Likelihood of Construction Incidents Using Public Data
29. Modelling Conditional Dependence Between Response Time and Accuracy in Cognitive Diagnostic Models
30. Multiple Imputation for Handling Missing Data of Covariates in Meta-Regression
31. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods
32. Phase retrieval in the high-dimensional regime
33. Semiparametric Inference of Censored Data with Time-dependent Covariates
34. Sequential Rerandomization in the Context of Small Samples
35. Statistical Learning for Process Data
36. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
37. Toward a scalable Bayesian workflow
38. Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics
39. A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization
40. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates
41. Data-Driven Quickest Change Detection
42. Decoding Starlight with Big Survey Data, Machine Learning, and Cosmological Simulations
43. Deep Probabilistic Graphical Modeling
44. Essays in Econometrics
45. Exact simulation algorithms with applications in queueing theory and extreme value analysis
46. Feature Selection for High Dimensional Causal Inference
47. Generative Modeling and Inference in Directed and Undirected Neural Networks
48. High-dimensional asymptotics: new insights and methods
49. Human Papillomavirus Vaccination, Online Health Information Seeking, and Health Literacy among Transgender and Gender Nonbinary People
50. Latent Variable Models in Measurement: Theory and Application
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