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Purnendu, ATLAS Institute, Â鶹ӰԺ The mathematical secrets of Computational Origami Origami is the Japanese name for the centuries-old art of folding paper into representations of birds, insects, animals, plants, human

Yury MakarychevToyota Technological Institute at Chicago (TTIC)Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians Clustering Consider an instance of Euclidean k-means or k-medians clustering. We show that the cost of the

Zhishen HuangDepartment of Applied Mathematics, Â鶹ӰԺFinding local minimizers in nonconvex and non-smooth optimization We consider the problem of finding local minimizers in nonconvex and non-smooth optimization. The

Ashutosh TrivediDepartment of Computer Science, Â鶹ӰԺReinforcement Learning and Formal RequirementsReinforcement learning is an approach to controller synthesis where agents rely on reward signals to choose actions in order

Jorge PovedaDepartment of Electrical, Computer, and Energy Engineering; Â鶹ӰԺReal-Time Optimization with Robustness and Acceleration via Hybrid Dynamical Systems and Averaging Theory In this talk we will discuss robust

Bo Waggoner Department of Computer Science, Â鶹ӰԺToward a Characterization of Loss Functions for Distribution Learning A common machine-learning task is to learn a probability distribution over a very large domain.

Project Tesserae: Longitudinal Multimodal Modeling of Individuals in Naturalistic ContextsI will describe our team’s efforts on a two-year Intelligence Advanced Research Projects Activity (IARPA) program called MOSAIC - Multimodal Objective Sensing

Modeling Real Behavior in Two-Person Differential GamesIn the behavioral sciences, games and game theory have long been the tools of choice for studying strategic behavior. However, the most commonly studied games involve only small numbers of

Hashing Algorithms for Extreme Scale Machine LearningIn this talk, I will discuss some of my recent and surprising findings on the use of hashing algorithms for large-scale estimations. Locality Sensitive Hashing (LSH) is a hugely popular algorithm

Optimization for High-dimensional Analysis and Estimation High-dimensional signal analysis and estimation appear in many signal processing applications, including modal analysis, and parameter estimation in the spectrally sparse signals. The