2013 Information Theory
and Applications Workshop
Sunday 2/10 - Friday 2/15
Catamaran Resort, San Diego
|
Monday and Tuesday will focus on information theory
and communications, while Thursday and Friday will center on networking, computer science, machine learning, bioinformatics, signal processing,
statistics, and related disciplines. Several expository presentations will cover different aspects of "big data"
|
 |
| 12/3 (Monday) | Paper titles
Poster picture
|
| 1/1 (Tuesday) | Registration
Abstracts |
| 2/1 (Friday) | Final papers |
|
Statistical Inference on High-Dimensional Covariance Structure, Tony Cai, UPenn
Something for almost nothing: Advances in sub-linear time algorithms, Ronitt Rubinfeld, MIT and Tel Aviv University ( Watch  )
Machine Learning for Big Data, Carlos Guestrin, University of Washington
Cancer Genomics, David Haussler, UC Santa Cruz ( Watch )
Designing Large-scale Nudge Algorithms, Balaji Prabhakar, Stanford ( Watch )
|
|
Reception, Sunday evening
The Tonight Show with Sergio Verdu, Tuesday evening
Graduation Day, Wednesday
A Way with Words, Wednesday
Banquet, Wednesday evening
Valentine's Day, Thursday evening
|
Presenters are encouraged to upload 2-minute video introductions for
their talks. For help with creating and uploading a video, please
check you presenter profile. Some videos:
Sequential high dimensional change-point detection, Yao Xie
Data security in distributed storage systems, Salim El Rouayheb
Minimax Compressed Sensing, Galen Reeves
Signal reconstruction in linear mixing systems with additive error metrics, Dror Baron
Finding correlations, learning juntas, and the closest pair problem, Gregory Valiant
Near-optimal adaptive compressed sensing and group testing, Matt Malloy
Learning Mixtures of Spherical Gaussians: Moment Methods and Spectral Decompositions, Daniel Hsu
Toward enforceable "property rights" in cognitive radio: carrots vs sticks, Kristen Woyach
Gaussian hybrid digital/analog coding with bandwidth expansion and side information at the decoder , Ertem Tuncel
Green Communication: From Maxwell's Demon to "Informational Friction" , Pulkit Grover
Hybrid Analog-Digital Beamforming Design for Millimeter Wave Cellular Systems with Partial Channel Knowledge, Robert Heath
Optimal Equivocation in Secrecy Systems a Special Case of Distortion-based Characterization, Paul Cuff
Reusable low-error compressive sampling schemes through privacy, Martin Strauss
Approximating the Global Minimum of the Bethe Free Energy, Tony Jebara
Data driven suppression rule for speech enhancement, Ivan Tashev
Something for almost nothing: Advances in sub-linear time algorithms, Ronitt Rubinfeld
Codes with local regeneration, P. Vijay Kumar
Source and Channel Codes via Sparse Linear Regression, Ramji Venkataraman
Universal fixed-to-variable source coding in the finite blocklength regime, Oliver Kosut
Maximally compact sequences, Yann Barbotin
Tracking dynamic sparse signals: a hierarchical Kalman filter, Wei Dai
Learning hidden Markov sparse models, Lin Li
An information-theoretic meta-theorem on edge-cut bounds and applications, Sudeep Kamath
The benefit of joint source-channel coding, Victoria Kostina
Polar Coding for Broadcast Channels, Naveen Goela
Convergence of the conditional per symbol entropy for stationary Gaussian fading channels for almost all input sequences, Rudolf Mathar
Capacity bounds for the Gaussian X channel, Ranga Prasad
Physical Layer Security via Cooperative Transmitting, Ninoslav Marina
|
