Campuses:

Talks

Date Title / Speaker Eventsort ascending
September 09, 2011 Time-dependent Intrinsic Correlation and its Applications
Xianyao Chen (The First Institute of Oceanography)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 08, 2011 Sparse time-frequency representation of multiscale data by nonlinear optimization
Thomas Hou (California Institute of Technology)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 07, 2011 Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
Norden Huang (National Central University)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 09, 2011 Fast algorithms for oscillatory kernels
Lexing Ying (The University of Texas at Austin)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 08, 2011 Applications of the Empirical Mode Decomposition to Trend Filtering and Gap Filling
Azadeh Moghtaderi (Queen's University)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 09, 2011 Inference for Harmonizable Processes
Sofia Olhede (University College London)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 08, 2011 Survey/Tutorial lecture - Sparsity, Regularization, and Applications




Joel Tropp (California Institute of Technology)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 08, 2011 Instantaneous Frequencies and Trends in Biomedical Applications
Chung-Kang Peng (Harvard Medical School)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 08, 2011 Multivariate Empirical Mode Decomposition
Danilo Mandic (Imperial College London)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 07, 2011 Trends in Climatic Data
Richard Smith (University of North Carolina, Chapel Hill)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 07, 2011 On the Trend, Detrending and Variability of Nonlinear and Non-stationary Time Series
Zhaohua Wu (Florida State University)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 07, 2011 Simultaneous variable and rank selection for optimal estimation

of high dimensional matrices

Florentina Bunea (Cornell University)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
September 07, 2011 Survey/Tutorial lecture - Locally stationary processes
Rainer Dahlhaus (Ruprecht-Karls-Universität Heidelberg)
Instantaneous Frequencies and Trends for Nonstationary Nonlinear Data
May 10, 2012 Math in Business
Cathy O'Neil (Intent Media)
User-Centered Modeling
May 07, 2012 Big-Data-Driven Medicine
David Madigan (Columbia University)
User-Centered Modeling
May 07, 2012 Participatory mobile health (mHealth): Innovative approaches to data collection and analysis
Deborah Estrin (University of California, Los Angeles)
User-Centered Modeling
May 11, 2012 Identifying (Causal) Influence in Social (Media) Networks
Sinan Aral (New York University)
User-Centered Modeling
May 10, 2012 Influence propagation in social networks: a data mining perspective
Francesco Bonchi (Yahoo! Research)
User-Centered Modeling
May 07, 2012 Human Mobility Characterization from Cellular Network Data
Ramon Caceres (AT&T Laboratories - Research)
User-Centered Modeling
May 08, 2012 Identifying peer effects in online communication behaviors
Dean Eckles (Stanford University)
User-Centered Modeling
May 08, 2012 Learning, Linking and Labeling Social Networks
Tony Jebara (Columbia University)
User-Centered Modeling
May 07, 2012 Computational Behavioral Ecology
Tanya Berger-Wolf (University of Illinois, Chicago)
User-Centered Modeling
May 09, 2012 Multi-Application User Interest Modeling
Frank Shipman (Texas A & M University)
User-Centered Modeling
May 10, 2012 Modeling Social Data
Jake Hofman (Yahoo! Inc.)
User-Centered Modeling
May 10, 2012 Using the Crowd for User-Centered Predictive Modeling
Cynthia Rudin (Massachusetts Institute of Technology)
User-Centered Modeling
May 09, 2012 User Data: The End of Anonymity, the Beginning of Privacy
Vitaly Shmatikov (The University of Texas at Austin)
User-Centered Modeling
May 07, 2012 Mining Medical Discussion Boards for Adverse Effects to Drugs User-Centered Modeling
May 09, 2012 User Modeling for Context-Aware Recommendation
Bamshad Mobasher (DePaul University)
User-Centered Modeling
May 09, 2012 Bayesian Bias Mitigation for Crowdsourcing
Fabian Wauthier (University of California, Berkeley)
User-Centered Modeling
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
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 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 29, 2012 Robust computer-enabled tests of goodness-of-fit
Rachel Ward (The University of Texas at Austin)
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
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 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 16, 2012 Length Reduction via Polynomials
Amihood Amir (Bar-Ilan University)
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 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 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 Improved Constructions for Non-adaptive Threshold Group Testing
Mahdi Cheraghchi (Carnegie-Mellon University)
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 15, 2012 Competitive Testing for Evaluating Priced Functions
Ferdinando Cicalese (Università di Salerno)
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
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 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 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 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 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 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

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