ECE Communications and Signal Processing
CSP Seminar Series
The Communications and Signal Processing (CSP) Seminars feature invited speakers that span the areas of Network, Communication, and Information Systems and Signal & Image Processing and Machine Learning.
Areas of focus include: Algorithmic Game Theory, Communications, Data Science (theory + applied), Economics, Machine Learning, Networks, Network Science, Portfolio Management, Reinforcement Learning
Watch past lectures on the CSP Youtube Channel here.
Sponsors
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Events for 2017
JAN
12
2017
Communications and Signal Processing Seminar
Data-Driven Methods for Sparse Network Estimation
Somayeh Sojoudi, Assistant Project Scientist, University of California, Berkeley
JAN
26
2017
Communications and Signal Processing Seminar
Security Pre-Screening in the Design of Cyber-Insurance Policies
Parinaz Ardabili, Post Doctoral Research Fellow, University of Michigan, Department of EECS
FEB
09
2017
Communications and Signal Processing Seminar
Descending Price Auction Algorithm for Determining Market Clearing Prices in Matching Markets
Vijay Subramanian, Associate Professor, University of Michigan, Department of EECS
FEB
23
2017
Communications and Signal Processing Seminar
Leveraging Union of Subspace Structure to Improve Constrained Clustering
Laura Balzano, Assistant Professor, University of Michigan, Department of EECS
MAR
09
2017
Communications and Signal Processing Seminar
Polar Codes: Implementations and Finite-Length Analysis
Hessam Mahdavifar, Assistant Professor, University of Michigan, Department of EECS
MAR
23
2017
Communications and Signal Processing Seminar
Computational and Statistical Convergence for Graph Estimation: Just Relax
Shuheng Zhou, Assistant Professor, University of Michigan, Department of EECS & LSA-Statistics
APR
06
2017
Communications and Signal Processing Seminar
Variable-length Codes for Channels with Memory and Feedback: fundamental limits and practical transmission schemes
Achilleas Anastasopoulos, Associate Professor, University of Michigan, Department of EECS
APR
13
2017
Communications and Signal Processing Seminar
Convolutional Dictionary Learning Using a Fast Block Proximal Gradient Method
Il Yong Chun, Post Doctoral Researcher, University of Michigan, Department of EECS
MAY
04
2017
Communications and Signal Processing Seminar
Private Learning and Exit Decisions in Collaboration
Anne-Katrin Roesler, Assistant Professor, University of Michigan, Department of Economics
JUN
26
2017
Communications and Signal Processing Seminar
l1 methods for tracking sparse signals
Adam Charles, Post Doctoral Researcher, Princeton University, Neuroscience Institute
AUG
29
2017
Communications and Signal Processing Seminar
Shannon's Information Measures and Markov Structures
Raymond W. Yeung, Professor, Chinese University of Hong Kong
SEP
11
2017
Communications and Signal Processing Seminar
Prices and Subsidies in the Sharing Economy
Longbo Huang, Assistant Professor, Tsinghua University
SEP
14
2017
Communications and Signal Processing Seminar
Free Component Analysis
Raj Rao Nadakuditi, Associate Professor, University of Michigan, Department of EECS
SEP
19
2017
Communications and Signal Processing Seminar
Learning Large Graphs from Compressed and Subsampled Data
Gautam Dasarathy, Post Doctoral Researcher, Rice University
SEP
28
2017
Communications and Signal Processing Seminar
Domain Adaptation for Recommender Systems
Clay Scott, Associate Professor, University of Michigan
NOV
02
2017
Communications and Signal Processing Seminar
Dissipativity Theory for optimization and Machine Learning Research
Bin Hu, Post Doctoral Researcher, University of Wisconsin – Madison
NOV
09
2017
Communications and Signal Processing Seminar
Non-linear models for matrix completion
Greg Ongie, Post Doctoral Research Fellow, University of Michigan
NOV
16
2017
Communications and Signal Processing Seminar
Subspace codes and rank-metric codes: List-decoding and sparse constructions
Hessam Mahdavifar, Assistant Professor, University of Michigan
NOV
30
2017
Communications and Signal Processing Seminar
New perspective from Blackwell's comparisons of experiments on generative adversarial networks and differential privacy
Sewoong Oh, Assistant Professor, UIUC
DEC
01
2017
Communications and Signal Processing Seminar
Scarfs Lemma and Stable Matchings
Rakesh Vohra, Professor, University of Pennsylvania
DEC
07
2017
Communications and Signal Processing Seminar
Optimal first-order convex minimization methods with applications to image reconstruction and machine learning
Jeff Fessler, Professor, University of Michigan, Department of EECS