Conference on Big Data, August 24 – 26, 2015

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.

For more info, please contact Sarah LaBauve at slabauve@math.harvard.edu.

 

Registration for the conference is now closed.

big data  final

Please click here for a downloadable version of this schedule.

Please note that lunch will not be provided during the conference, but a map of Harvard Square with a list of local restaurants can be found here.

Monday, August 24

Time Speaker Title
8:45am Meet and Greet
9:00am Sendhil Mullainathan Prediction Problems in Social Science: Applications of Machine Learning to Policy and Behavioral Economics
9:45am Mike Luca Designing Disclosure for the Digital Age
10:30 Break
10:45 Jianqing Fan Big Data Big Assumption: Spurious discoveries and endogeneity
11:30am Daniel Goroff Privacy and Reproducibility in Data Science
12:15pm Break for Lunch
2:00pm Ryan Adams Exact Markov Chain Monte Carlo with Large Data
2:45pm David Dunson Scalable Bayes: Simple algorithms with guarantees
3:30pm Break
3:45pm Michael Jordan Computational thinking, inferential thinking and Big Data
4:30pm Joel Tropp Applied Random Matrix Theory
5:15pm David Woodruff Input Sparsity and Hardness for Robust Subspace Approximation

 Tuesday, August 25

Time Speaker Title
8:45am Meet and Greet
9:00am Gunnar Carlsson Persistent homology for qualitative analysis and feature generation
9:45am Andrea Montanari Semidefinite Programming Relaxations for Graph and Matrix Estimation: Algorithms and Phase Transitions
10:30am Break
10:45am Susan Athey Machine Learning and Causal Inference for Policy Evaluation
11:30am Denis Nekipelov Robust Empirical Evaluation of Large Competitive Markets
12:15pm Break for Lunch
2:00pm Lucy Colwell Using evolutionary sequence variation to make inferences about protein structure and function: Modeling with Random Matrix Theory
2:45pm Simona Cocco Inverse Statistical Physics approaches for the modeling of protein families
3:30pm Break
3:45pm Remi Monasson Inference of top components of correlation matrices with prior informations
4:30pm Sayan Mukherjee Random walks on simplicial complexes and higher order notions of spectral clustering

A Banquet from 7:00 – 8:30pm will follow Tuesday’s talks. This event is by invitation only.

 Wednesday, August 26 

Time Speaker Title
8:45am Meet and Greet
9:00am Ankur Moitra Beyond Matrix Completion
9:45am Florent Krzakala Optimal compressed sensing with spatial coupling and message passing
10:30am Break
10:45am Piotr Indyk Fast Algorithms for Structured Sparsity
11:30am Guido Imbens Exact p-values for network inference
12:15pm Break for lunch
2:00pm Edo Airoldi Some fundamental ideas for causal inference on large networks
2:45pm Ronitt Rubinfeld Something for almost nothing: sublinear time approximation algorithms
3:30pm Break
3:45pm Lenka Zdeborova Clustering of sparse networks:  Phase transitions and optimal algorithms
4:30pm Jelani Nelson Dimensionality reductions via sparse matrices

 

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