Stats, Optimization, and Machine Learning Seminar - Farhad Pourkamali-Anaraki

Jan. 23, 2018

With the growing scale and complexity of datasets in scientific disciplines, traditional data analysis methods are no longer practical to extract meaningful information and patterns. The need to process large-scale datasets by memory and computation efficient algorithms arises in all fields of science and engineering. Randomization and probabilistic techniques have...

Stats, Optimization, and Machine Learning Seminar - Abtin Rahimian

March 14, 2017

Event Description: Abtin Rahimian, Courant Institute of Mathematical Sciences, New York University Fast algorithms for structured matrices in simulations of physical systems Real-world complex phenomena are typically characterized by interacting physical processes, uncertain parameters, dynamic boundaries, and close coupling over a wide span of spatial and temporal scales. Predictive computational...

Stats, Optimization, and Machine Learning Seminar - Alexandra Kolla

March 7, 2017

Event Description: ALTERNATE LOCATION! The seminar will meet in DLC 170 for this week! Alexandra Kolla, Assistant Professor of Computer Science, University of Illinois Urbana-Champaign The Sound of Graphs In this talk, Kolla will discuss major implications that linear algebraic techniques have in understanding and resolving hard computational and graph...

Stats, Optimization, and Machine Learning Seminar

Feb. 28, 2017

Event Description: Topics in Statistics, Optimization, and Machine Learning Location Information: Main Campus - Engineering Classroom Wing ( View Map ) 1111 Engineering DR Boulder, CO Room: 257: Newton Lab Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu

Stats, Optimization, and Machine Learning Seminar

Feb. 21, 2017

Event Description: Topics in Statistics, Optimization, and Machine Learning Location Information: Main Campus - Engineering Classroom Wing ( View Map ) 1111 Engineering DR Boulder, CO Room: 257: Newton Lab Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu

Stats, Optimization, and Machine Learning Seminar

Feb. 14, 2017

Event Description: Topics in Statistics, Optimization, and Machine Learning Location Information: Main Campus - Engineering Classroom Wing ( View Map ) 1111 Engineering DR Boulder, CO Room: 257: Newton Lab Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu

Stats, Optimization, and Machine Learning Seminar - Will Kleiber

Feb. 7, 2017

Event Description: William Kleiber, Department of Applied Mathematics, University of Colorado Boulder Simulation of High-Resolution Random Fields Simulation of spatial random fields is an essential goal in most geostatistical analyses. This talk will focus on two approaches to generating high resolution simulations of nonstationary Gaussian random fields. The first relies...

Stats, Optimization, and Machine Learning Seminar - Mohit Iyyer

Jan. 31, 2017

Event Description: Mohit Iyyer, Department of Computer Science, University of Maryland, College Park Deep Learning for Creative Language Understanding Creative language—the sort found in novels, film, and comics—contains a wide range of linguistic phenomena, from increased syntactic complexity (e.g., metaphors, sarcasm) to high-level discourse structures such as narrative and character...

Stats, Optimization, and Machine Learning Seminar - Satyen Kale

Jan. 24, 2017

Event Description: Satyen Kale, Google Research, NYC Online Boosting Algorithms We initiate the study of boosting in the online setting, where the task is to convert a "weak" online learner into a "strong" online learner. The notions of weak and strong online learners directly generalize the corresponding notions from standard...

Stats, Optimization, & Machine Learning Seminar - Lijun Chen

Dec. 6, 2016

Event Description: Lijun Chen, Departments of Computer Science and Telecommunications, University of Colorado Boulder The Weighted Sum Rate Maximization in MIMO Interference Networks: Minimax Lagrangian Duality and Algorithm

 We take a new approach to the weighted sum-rate maximization in multiple-input multiple-output (MIMO) interference networks, by formulating an equivalent max-min problem...

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