Talks

Date	Title / Speaker	Event
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 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 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 26, 2011	Managing Interference in Wireless Networks Robert Calderbank (Duke 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	Learning Graphical Models by Competitive Assembly of Marginals Donald Geman (Johns Hopkins University)	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 25, 2011	Graphs of Shapes and Images Leonidas Guibas (Stanford University)	Large Graphs: Modeling, Algorithms, and Applications
October 26, 2011	The Block Two-Level Erdös-Rényi (BTER) Graph Model Tamara Kolda (Sandia National Laboratories)	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
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	Inverse problems in tomographic imaging Charles Bouman (Purdue University)	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 15, 2011	Tutorial - Translational medical imaging Guillermo Sapiro (University of Minnesota, Twin Cities)	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 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	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 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	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 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
November 15, 2011	Interactive Segmentation of 3D Imagery Allen Tannenbaum (Boston University)	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	Designing fast and robust algorithms for medical image processing Elsa Angelini (Telecom ParisTech)	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 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 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 16, 2011	Multiscale Set Estimation in Biomedical Inverse Problems Rebecca Willett Lu (Duke 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 14, 2011	How is Biology as a Science Possible? Edward Dougherty (Texas A & M 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 14, 2011	Tutorial - Quantitative biological imaging: from cells to numbers Jean-Christophe Olivo-Marin (Institut Pasteur)	Large Data Sets in Medical Informatics
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 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	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
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
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	Hogwild for Machine Learning on Multicore Ben Recht (University of Wisconsin, Madison)	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 26, 2012	Tutorial - Large Scale Inference Alexander Smola (Yahoo! Inc.)	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 27, 2012	Tutorial - Algorithms for Sparse Optimization and Machine Learning Stephen Wright (University of Wisconsin, Madison)	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 29, 2012	Tutorial - Learning Kernels Corinna Cortes (Google Inc.)	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 28, 2012	Tutorial - Part 2: Models of Social Interactions Jure Leskovec (Stanford University)	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	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 29, 2012	Dynamic Network Analysis of the Arab Spring Kathleen Carley (Carnegie-Mellon University)	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
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	How to learn from a single network: Relational learning for social network domains Jennifer Neville (Purdue University)	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 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

Talks

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