learning algorithms


FDS Colloquium: Brice Huang (MIT), “Algorithmic thresholds in random optimization problems”

Abstract: Optimizing high-dimensional functions generated from random data is a central problem in modern statistics and machine learning. As these objectives are highly non-convex, […]


FDS Special Seminar: Orr Paradise (Berkeley), “Models that prove their own correctness”

Abstract: This talk introduces Self-Proving models, a new class of models that formally prove the correctness of their outputs via an Interactive Proof system. […]


FDS Colloquium: Bento Natura (Columbia), “Faster Exact Linear Programming”

Optional Zoom link: https://yale.zoom.us/j/99342713421 Abstract: We present a novel algorithm to solve various subclasses of linear programs, with a particular focus on strongly polynomial […]


FDS Colloquium: Quanquan C. Liu, “Massive Graph Algorithms from Theory to Practice and Back”

FDS Colloquium: Quanquan C. Liu, “Massive Graph Algorithms from Theory to Practice and Back”

“Massive Graph Algorithms from Theory to Practice and Back” Abstract: In the face of massive graph data, there is increased interest in developing novel […]


S&DS Seminar: Johan Ugander (Stanford), “Harvesting randomness to understand computational social systems”

S&DS Seminar: Johan Ugander (Stanford), “Harvesting randomness to understand computational social systems”

Speaker: Johan UganderAssociate Professor, Management Science & Engineering (MS&E)Institute for Computational & Mathematical Engineering (ICME)Cisco Systems Faculty Scholar, School of EngineeringStanford University Monday, March […]


FDS Colloquium: Lior Pachter (Caltech), “Some open and solved problems in dimensionality reduction (for single-cell genomics data)”

FDS Colloquium: Lior Pachter (Caltech), “Some open and solved problems in dimensionality reduction (for single-cell genomics data)”

Speaker: Lior S. PachterBren Professor of Computational Biology and Computing Mathematical SciencesDivision of Biology and Biological EngineeringCalifornia Institute of Technology Wednesday, April 3, 2024Lunch: […]


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