Campuses:

Talks

Date Title / Speaker Eventsort descending
October 26, 2011 The Block Two-Level Erdös-Rényi (BTER) Graph Model
Tamara Kolda (Sandia National Laboratories)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Recent Ideas on Subspace Clustering
Gilad Lerman (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 28, 2011 An Asymmetric Laplacian and Commute Times for Directed Graphs.
Daniel Boley (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Trees, Graphs and Clusters: Learning Network Structure through Clustering
Brian Eriksson (University of Wisconsin, Madison), Robert Nowak (University of Wisconsin, Madison)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Sparse Signal Processing Bounds on Large Graphs
Venkatesh Saligrama (Boston University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Network analysis of human brains
Guillermo Sapiro (University of Minnesota, Twin Cities)
Large Graphs: Modeling, Algorithms, and Applications
October 28, 2011 Non-parametric Link Prediction
Purnamrita Sarkar (University of California, Berkeley)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Robust and Efficient Spectral Clustering of Large Graphs
Aarti Singh (Carnegie-Mellon University)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Graphs in Network Commerce and Their Applications
Neel Sundaresan (eBay)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Regularized Online Optimization: Tracking Regret, Risk Bounds, and Applications to Dynamic Networks
Rebecca Willett (Duke University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Extracting insight from large networks: small-scale structures,

large-scale structures, and their implications for machine learning and

data analysis


Michael Mahoney (Stanford University)
Large Graphs: Modeling, Algorithms, and Applications
October 24, 2011 Trees, Graphs and Clusters: Learning Network Structure through

Clustering

Brian Eriksson (University of Wisconsin, Madison), Robert Nowak (University of Wisconsin, Madison)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Statistical analysis of populations with interacting and interfering units
Simon Lunagomez (Harvard University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Extracting insight from large networks: small-scale structures,

large-scale structures, and their implications for machine learning and

data analysis

Michael Mahoney (Stanford University)
Large Graphs: Modeling, Algorithms, and Applications
October 25, 2011 Can We Quantify & Exploit Tree-like Intermediate Structure in Complex Networks?
Blair Sullivan (Oak Ridge National Laboratory)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Statistical analysis of populations with interacting and interfering units a joint work with Edo Airoldi
Simon Lunagomez (Harvard University)
Large Graphs: Modeling, Algorithms, and Applications
October 27, 2011 Learning the Network Structure of Cortical Microcircuits
Stuart Geman (Brown University), Matthew Harrison (Brown University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Managing Interference in Wireless Networks
Robert Calderbank (Duke University)
Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011 Learning Graphical Models by Competitive Assembly of Marginals
Donald Geman (Johns Hopkins University)
Large Graphs: Modeling, Algorithms, and Applications
November 16, 2011 Designing fast and robust algorithms for medical image processing
Elsa Angelini (Telecom ParisTech)
Large Data Sets in Medical Informatics
November 17, 2011 Intervention and Control of Large-Scale Gene Regulatory Networks
Nidhal Bouaynaya (University of Arkansas), Dan Schonfeld (University of Illinois, Chicago)
Large Data Sets in Medical Informatics
November 17, 2011 Tutorial - Massive scale of DNA sequencing data presents challenges in processing and analysis
Fuli Yu (Baylor College of Medicine)
Large Data Sets in Medical Informatics
November 16, 2011 Inverse problems in tomographic imaging
Charles Bouman (Purdue University)
Large Data Sets in Medical Informatics
November 15, 2011 Interactive Segmentation of 3D Imagery
Allen Tannenbaum (Boston University)
Large Data Sets in Medical Informatics
November 14, 2011 Pattern Discovery in Biomedical Modelling
Yi-Ping Phoebe Chen (La Trobe University)
Large Data Sets in Medical Informatics
November 18, 2011 Modeling and Acceleration of Maximum A Posteriori Reconstruction from Large CT Datasets
Jean-Baptiste Thibault (GE Healthcare)
Large Data Sets in Medical Informatics
November 17, 2011 Tutorial - Massive scale of DNA sequencing data presents challenges in processing and analysis
Fuli Yu (Baylor College of Medicine)
Large Data Sets in Medical Informatics
November 14, 2011 Towards Closing the Semantic Gap in Decision Support for Clinical Sequencing in Oncology
Nevenka Dimitrova (Philips Research Laboratory)
Large Data Sets in Medical Informatics
November 16, 2011 Multiscale Set Estimation in Biomedical Inverse Problems
Rebecca Willett Lu (Duke University)
Large Data Sets in Medical Informatics
November 18, 2011 Large Data Challenges in Medical Imaging and Bioinformatics
Ahmed Tewfik (The University of Texas at Austin)
Large Data Sets in Medical Informatics
November 18, 2011 3-D reconstructions of biological macromolecular complexes by electron microscopy
Peter Doerschuk (Cornell University)
Large Data Sets in Medical Informatics
November 14, 2011 How is Biology as a Science Possible?
Edward Dougherty (Texas A & M University)
Large Data Sets in Medical Informatics
November 15, 2011 Correlation-based variable selection for differential gene expression analysis
Alfred Hero III (University of Michigan)
Large Data Sets in Medical Informatics
November 14, 2011 Tutorial - Quantitative biological imaging: from cells to numbers
Jean-Christophe Olivo-Marin (Institut Pasteur)
Large Data Sets in Medical Informatics
November 15, 2011 Impact of Sensing Structure in Classification of High-Dimensional Medical Informatics Data
W. Clem Karl (Boston University)
Large Data Sets in Medical Informatics
November 16, 2011 Inverse problems in tomographic imaging
Charles Bouman (Purdue University)
Large Data Sets in Medical Informatics
November 16, 2011 Imaging development of the embryonic heart over multiple spatial dimensions, modalities and time-scales
Michael Liebling (University of California, Santa Barbara)
Large Data Sets in Medical Informatics
November 15, 2011 Tutorial - Translational medical imaging
Guillermo Sapiro (University of Minnesota, Twin Cities)
Large Data Sets in Medical Informatics
November 16, 2011 Large-Scale Multiple Testing in Medical Informatics
Robert Nowak (University of Wisconsin, Madison)
Large Data Sets in Medical Informatics
November 14, 2011 Tutorial - Quantitative biological imaging: from cells to numbers
Jean-Christophe Olivo-Marin (Institut Pasteur)
Large Data Sets in Medical Informatics
November 17, 2011 Using Algorithms to Produce High Content Information from Cell and Tissue Images
Jens Rittscher (General Electric)
Large Data Sets in Medical Informatics
November 14, 2011 Scalable methods for analyzing 3D/4D/5D Images of Complex

and Dynamic Biological Microenvironments

Badri Roysam (University of Houston)
Large Data Sets in Medical Informatics
November 15, 2011 Tutorial - Translational medical imaging
Guillermo Sapiro (University of Minnesota, Twin Cities)
Large Data Sets in Medical Informatics
November 17, 2011 Estimation of Individual’s Risk for Complex Trait Diseases: Methods and Challenges using Allelic Specific Expression and Mapping Cis-variance from NGS Data (RNA and Exome Sequencing Data)
Shipra Agrawal (BioCOS Life Sciences Private Limited)
Large Data Sets in Medical Informatics
February 15, 2012 Competitive Testing for Evaluating Priced Functions
Ferdinando Cicalese (Università di Salerno)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 Probabilistic and combinatorial models for quantized group testing
Olgica Milenkovic (University of Illinois at Urbana-Champaign)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 A Group Testing Approach to Corruption Localizing Hashing
Annalisa De Bonis (Università di Salerno)
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Combinatorial Pooling Enables Selective Sequencing of the Barley Gene Space
Stefano Lonardi (University of California)
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 Tutorial: Cost effective sequencing of rare genetic variations
Yaniv Erlich (Whitehead Institute for Biomedical Research)
Group Testing Designs, Algorithms, and Applications to Biology
February 17, 2012 Tutorial: Locally decodable codes
Anna Gal (The University of Texas at Austin)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 Weighted Pooling - Simple and Effective Techniques for Pooled High Throughput Sequencing Design
David Golan (Tel Aviv University)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 Sparser Johnson-Lindenstrauss Transforms
Jelani Nelson (Princeton University)
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Network topology as a source of biological information
Natasha Przulj (Imperial College London)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 A dynamic and quantitative protein interaction network regulating angiogenesis
Sylvie Ricard-Blum (Université Claude-Bernard (Lyon I))
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 Mining Rare Human Variations using Combinatorial Pooling
Dina Esposito (Whitehead Institute for Biomedical Research)
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 RUMP session
Olgica Milenkovic (University of Illinois at Urbana-Champaign)
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Tutorial: Group Testing and Coding Theory
Atri Rudra (University at Buffalo (SUNY))
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Superimposed Codes and Designs for Group Testing Models
Vyacheslav Rykov (University of Nebraska)
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Testing Boolean functions
Alex Samorodnitsky (Hebrew University)
Group Testing Designs, Algorithms, and Applications to Biology
February 17, 2012 From screening clone libraries to detecting biological agents
Alexander Schliep (Rutgers, The State University Of New Jersey )
Group Testing Designs, Algorithms, and Applications to Biology
February 14, 2012 Superimposed codes
Zoltan Furedi (Hungarian Academy of Sciences (MTA))
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 Identification of rare alleles and their carriers using compressed se(que)nsing
Noam Shental (Open University of Israel)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 RUMP session


Yaniv Erlich (Whitehead Institute for Biomedical Research)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 Shifted Transversal Design Smart-pooling: increasing sensitivity, specificity and efficiency in high-throughput biology
Nicolas Thierry-Mieg (Centre National de la Recherche Scientifique (CNRS))
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 Length Reduction via Polynomials
Amihood Amir (Bar-Ilan University)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 Greedy Separate Testing Sparse Inputs
Mikhail Malyutov (Northeastern University)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 Tutorial: The Data Stream Model
David Woodruff (IBM Research Division)
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 RNA Structure Characterization from High-Throughput Chemical Mapping Experiments
Sharon Aviran (University of California, Berkeley)
Group Testing Designs, Algorithms, and Applications to Biology
February 16, 2012 RUMP session


Ely Porat (Bar-Ilan University)
Group Testing Designs, Algorithms, and Applications to Biology
February 17, 2012 Reconstruction of bacterial communities using sparse representation
Or Zuk (Broad Institute)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 Improved Constructions for Non-adaptive Threshold Group Testing
Mahdi Cheraghchi (Carnegie-Mellon University)
Group Testing Designs, Algorithms, and Applications to Biology
February 15, 2012 Genomic Privacy and the Limits of Individual Detection in a Pool
Sriram Sankararaman (Harvard Medical School)
Group Testing Designs, Algorithms, and Applications to Biology
February 13, 2012 Tutorial: Sparse signal recovery
Anna Gilbert (University of Michigan)
Group Testing Designs, Algorithms, and Applications to Biology
March 26, 2012 The Convex Geometry of Linear Inverse Problems
Venkat Chandrasekaran (University of California, Berkeley)
Machine Learning: Theory and Computation
March 27, 2012 Greedy Algorithms for Structurally Constrained High Dimensional Problems
Pradeep Ravikumar (The University of Texas at Austin)
Machine Learning: Theory and Computation
March 29, 2012 Tutorial - Learning Kernels
Corinna Cortes (Google Inc.)
Machine Learning: Theory and Computation
March 28, 2012 Tutorial - Part 1: Models of Information Flow and Social Media
Jure Leskovec (Stanford University)
Machine Learning: Theory and Computation
March 28, 2012 How to learn from a single network: Relational learning for social network domains
Jennifer Neville (Purdue University)
Machine Learning: Theory and Computation
March 26, 2012 Principal Components of Cumulants
Lek-Heng Lim (University of Chicago)
Machine Learning: Theory and Computation
March 30, 2012 Efficient Optimal Learning for Contextual Bandits
Satyen Kale (IBM)
Machine Learning: Theory and Computation
March 28, 2012 Learning on a Budget
Robert Nowak (University of Wisconsin, Madison)
Machine Learning: Theory and Computation
March 29, 2012 Co-clustering for directed graphs: an algorithm, a model, and some asymptotics
Karl Rohe (University of Wisconsin, Madison)
Machine Learning: Theory and Computation
March 30, 2012 On least squares rank minimization
Xioatong Shen (University of Minnesota, Twin Cities)
Machine Learning: Theory and Computation
March 26, 2012 Tutorial - Large Scale Inference
Alexander Smola (Yahoo! Inc.)
Machine Learning: Theory and Computation
March 29, 2012 Optimization, Learning and the Universality of Mirror Descent
Nathan (Nati) Srebro (Toyota Technological Institute at Chicago)
Machine Learning: Theory and Computation
March 28, 2012 Group lasso for genomic data
Jean-Philippe Vert (École Nationale Supérieure des Mines de Paris)
Machine Learning: Theory and Computation
March 28, 2012 Hogwild for Machine Learning on Multicore
Ben Recht (University of Wisconsin, Madison)
Machine Learning: Theory and Computation
March 29, 2012 Robust computer-enabled tests of goodness-of-fit
Rachel Ward (The University of Texas at Austin)
Machine Learning: Theory and Computation
March 29, 2012 Modeling with Rules
Cynthia Rudin (Massachusetts Institute of Technology)
Machine Learning: Theory and Computation
March 26, 2012 Tutorial - Large Scale Inference
Alexander Smola (Yahoo! Inc.)
Machine Learning: Theory and Computation
March 27, 2012 The blessing and the curse of the multiplicative updates

- discusses connections between in vitro selection,

and the multiplicative updates of online learning

Manfred K Warmuth (University of California)
Machine Learning: Theory and Computation
March 27, 2012 Tutorial - Algorithms for Sparse Optimization and Machine Learning
Stephen Wright (University of Wisconsin, Madison)
Machine Learning: Theory and Computation
March 27, 2012 Tutorial - Algorithms for Sparse Optimization and Machine Learning
Stephen Wright (University of Wisconsin, Madison)
Machine Learning: Theory and Computation
March 29, 2012 Tutorial - Learning Kernels
Corinna Cortes (Google Inc.)
Machine Learning: Theory and Computation
March 27, 2012 Robust Statistics: Challenges of High Dimensions
Constantine Caramanis (The University of Texas at Austin)
Machine Learning: Theory and Computation
March 26, 2012 Learning Loopy Graphical Models with Latent Variables: Tractable Regimes and Efficient Methods
Anima Anandkumar (University of California)
Machine Learning: Theory and Computation
March 28, 2012 Tutorial - Part 2: Models of Social Interactions
Jure Leskovec (Stanford University)
Machine Learning: Theory and Computation
March 29, 2012 Dynamic Network Analysis of the Arab Spring
Kathleen Carley (Carnegie-Mellon University)
Machine Learning: Theory and Computation
March 28, 2012 How to partition a country? Identification of social communities in mobile phone communication networks
Vincent Blondel (Université Catholique de Louvain)
Machine Learning: Theory and Computation
March 26, 2012 Topological methods for large and complex data sets
Gunnar Carlsson (Stanford University)
Machine Learning: Theory and Computation

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