Search for tag: "functional analysis"
ORIE Colloquium, 3/18/2020 - Ashia Wilson“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…
From E. Cornelius
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CAM Colloquium - Mike Todd: Computation, Multiplicity, and Comparative Statics of Cournot Equilibria in IntegersWe give an efficient algorithm for computing a Cournot equilibrium when the producers are confined to integers, the inverse demand function is linear, and costs are quadratic. The method also…
From E. Cornelius
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ORIE Colloquium on 2/6/2014 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing DataThursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy…
From E. Cornelius
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ORIE Colloquium on 2/4/2014 - John Duchi: Machine Learning: a Discipline of Resource TradeoffsTuesday, February 4, 2014 at 4:15pm Upson Hall, B17 ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs Joint colloquium with Computer Science. How…
From E. Cornelius
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ORIE Colloquium on 4/15/2014 - Natesh Pillai: Accelerating MCMC Algorithms in Computer Intensive Models and Applications to Large Data SetsTuesday, Apr 15, 2014 at 4:15 PM [.ics] 253 Rhodes Hall Natesh Pillai Assistant Professor, Department of Statistics Harvard University Category: ORIE Colloquium Seminars
From E. Cornelius
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ORIE Colloquium, on 4/8/2014 - Cynthia Rudin: Methods for Interpretable Machine LearningTuesday, April 8, 2014, 253 Rhodes Hall Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black…
From E. Cornelius
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