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1.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
3.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
4.
Changing paradigms for batch record review in pharmaceuticals to drive real time product disposition
by Padrono, Blanca, M.S.  California State University, Dominguez Hills. 2014: 143 pages; 1525507.
5.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
6.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
8.
Robust and efficient inference of scene and object motion in multi-camera systems
by Sankaranarayanan, Aswin C., Ph.D.  University of Maryland, College Park. 2009: 181 pages; 3391385.
9.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
10.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
12.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
13.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
14.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
16.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
17.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
18.
Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
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Bias in Novel Category Learning
by Martin, Sean, Ph.D.  New York University. 2015: 203 pages; 3740789.
22.
Secure Distributed Inference
by Chen, Yuan, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 13883829.
23.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
24.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
25.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
26.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
27.
Topics in model-based population inference
by Schutt, Rachel, Ph.D.  Columbia University. 2010: 158 pages; 3400625.
28.
Essays on Causal Inference in Randomized Experiments
by Lin, Winston, Ph.D.  University of California, Berkeley. 2013: 93 pages; 3593906.
29.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
30.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
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