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DTSTART;TZID=America/New_York:20150102T090000
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UID:10000051-1420189200-1451581200@cmsa.fas.harvard.edu
SUMMARY:MATH-PHYSICS PROGRAM
DESCRIPTION:In the past thirty years there have been deep interactions between mathematics and theoretical physics which have tremendously enhanced both subjects. The focal points of these interactions include string theory\, general relativity\, and quantum many-body theory. \nString theory has been at the center of the ongoing effort to uncover the fundamental principles of nature and in particular to unify Einstein’s geometric theory of gravity with quantum theory. The development of this field has sparked a historically unprecedented synergy between mathematics and physics. Progress at the forefront of theoretical physics has relied crucially on very recent developments in pure mathematics. At the same time insights from physics have led to both new branches of pure mathematics as well as dramatic progress in old branches. \nSeveral examples from the recent past exemplifying this synergy include the prediction from string theory of mirror symmetry\, a highly unexpected mathematical equivalence between distinct pairs of Calabi-Yau manifolds. This fueled exciting developments in algebraic\, enumerative and symplectic geometry. At the same time the realization of string theory as a phenomenologically viable physical theory depends crucially on detailed mathematical properties of these manifolds. In Einstein’s theory of general relativity the proofs of the positive energy theorem and the stability of flat spacetime were accompanied by fundamental new results in functional analysis\, differential geometry and minimal surface theory. In the coming decades we expect many more important discoveries to arise from the interface of mathematics and physics. The Cheng Fund will foster these efforts. \n\n\nHere is a partial list of the mathematicians who have indicated that they will attend part or all of this special program \n\n\n\n\nName\nTentative Visiting Dates\n\n\n\n\nPo-Ning Chen\n2/1/15-4/30/15\n\n\nHong-Jian He\n3/5/15-5/5/15\n\n\nMonica Guica\n12/1/14-3/15/15\n\n\nAmer Iqbal\n1/8/15-4/8/15\n\n\nSuvrat Raju\n2/25/15-5/25/15\n\n\nMithat Ünsal\n9/1/15-12/31/15
URL:https://cmsa.fas.harvard.edu/event/math-physics-program/
LOCATION:CMSA 20 Garden Street Cambridge\, Massachusetts 02138 United States
CATEGORIES:Programs
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DTSTART;TZID=America/New_York:20150824T084500
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LAST-MODIFIED:20250304T180628Z
UID:10000013-1440405900-1440604800@cmsa.fas.harvard.edu
SUMMARY:2015 Conference on Big Data
DESCRIPTION:The Center of Mathematical Sciences and Applications will be having a conference on Big Data August 24-26\, 2015\, in Science Center Hall B at Harvard University.  This conference will feature many speakers from the Harvard Community as well as many scholars from across the globe\, with talks focusing on computer science\, statistics\, math and physics\, and economics.\n\n \nMonday\, August 24 \n\n\n\nTime\nSpeaker\nTitle\n\n\n8:45am\nMeet and Greet\n\n\n\n9:00am\nSendhil Mullainathan\nPrediction Problems in Social Science: Applications of Machine Learning to Policy and Behavioral Economics\n\n\n9:45am\nMike Luca\nDesigning Disclosure for the Digital Age\n\n\n10:30\nBreak\n\n\n\n10:45\nJianqing Fan\nBig Data Big Assumption: Spurious discoveries and endogeneity\n\n\n11:30am\nDaniel Goroff\nPrivacy and Reproducibility in Data Science\n\n\n12:15pm\nBreak for Lunch\n\n\n\n2:00pm\nRyan Adams\nExact Markov Chain Monte Carlo with Large Data\n\n\n2:45pm\nDavid Dunson\nScalable Bayes: Simple algorithms with guarantees\n\n\n3:30pm\nBreak\n\n\n\n3:45pm\nMichael Jordan\nComputational thinking\, inferential thinking and Big Data\n\n\n4:30pm\nJoel Tropp\nApplied Random Matrix Theory\n\n\n5:15pm\nDavid Woodruff\nInput Sparsity and Hardness for Robust Subspace Approximation\n\n\n\nTuesday\, August 25 \n\n\n\nTime\nSpeaker\nTitle\n\n\n8:45am\nMeet and Greet\n\n\n\n9:00am\nGunnar Carlsson\nPersistent homology for qualitative analysis and feature generation\n\n\n9:45am\nAndrea Montanari\nSemidefinite Programming Relaxations for Graph and Matrix Estimation: Algorithms and Phase Transitions\n\n\n10:30am\nBreak\n\n\n\n10:45am\nSusan Athey\nMachine Learning and Causal Inference for Policy Evaluation\n\n\n11:30am\nDenis Nekipelov\nRobust Empirical Evaluation of Large Competitive Markets\n\n\n12:15pm\nBreak for Lunch\n\n\n\n2:00pm\nLucy Colwell\nUsing evolutionary sequence variation to make inferences about protein structure and function: Modeling with Random Matrix Theory\n\n\n2:45pm\nSimona Cocco\nInverse Statistical Physics approaches for the modeling of protein families\n\n\n3:30pm\nBreak\n\n\n\n3:45pm\nRemi Monasson\nInference of top components of correlation matrices with prior informations\n\n\n4:30pm\nSayan Mukherjee\nRandom walks on simplicial complexes and higher order notions of spectral clustering\n\n\n\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \nA Banquet from 7:00 – 8:30pm will follow Tuesday’s talks. This event is by invitation only. \n Wednesday\, August 26  \n\n\n\nTime\nSpeaker\nTitle\n\n\n8:45am\nMeet and Greet\n\n\n\n9:00am\nAnkur Moitra\nBeyond Matrix Completion\n\n\n9:45am\nFlorent Krzakala\nOptimal compressed sensing with spatial coupling and message passing\n\n\n10:30am\nBreak\n\n\n\n10:45am\nPiotr Indyk\nFast Algorithms for Structured Sparsity\n\n\n11:30am\nGuido Imbens\nExact p-values for network inference\n\n\n12:15pm\nBreak for lunch\n\n\n\n2:00pm\nEdo Airoldi\nSome fundamental ideas for causal inference on large networks\n\n\n2:45pm\nRonitt Rubinfeld\nSomething for almost nothing: sublinear time approximation algorithms\n\n\n3:30pm\nBreak\n\n\n\n3:45pm\nLenka Zdeborova\nClustering of sparse networks:  Phase transitions and optimal algorithms\n\n\n4:30pm\nJelani Nelson\nDimensionality reductions via sparse matrices
URL:https://cmsa.fas.harvard.edu/event/conference-on-big-data-august-24-26-2015/
LOCATION:Harvard Science Center\, 1 Oxford Street\, Cambridge\, MA\, 02138
CATEGORIES:Big Data Conference,Conference,Event
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