Communications and Signal Processing Seminar

Events
Communications and Signal Processing Seminar

October 2014

October 9, 2014 @ 4:00 pm

Coding for Real-Time Streaming Communication

October 23, 2014 @ 4:00 pm

New Texture Similarity Metrics

November 2014

November 6, 2014 @ 4:00 pm

The Impact of Observation and Action Errors on Informational Cascades

November 20, 2014 @ 4:00 pm

Distributed storage systems from combinatorial designs

December 2014

December 4, 2014 @ 4:00 pm

Learning Compositional Sparse Models of Bimodal Percepts

December 12, 2014 @ 11:00 am

Parallel and Distributed Algorithms for Large-scale Optimization

February 2015

February 26, 2015 @ 4:00 pm

Incentives for Network Allocation with Strategic Agents: Unifying the Design Process and Aiming at Fairness

March 2015

March 12, 2015 @ 4:00 pm

Crowd-Learning: Improving the Quality of Crowdsourcing Using Sequential Learning

March 26, 2015 @ 4:00 pm

Online Robust PCA or Online Sparse + Low-Rank Matrix Recovery

March 30, 2015 @ 4:00 pm

On extremal auxiliaries in multiuser information theory

April 2015

April 2, 2015 @ 4:00 pm

Convergence to pure-strategy Nash equilibria under simple learning rules and selection of resilient pure-strategy Nash equilibria

May 2015

May 14, 2015 @ 4:00 pm

Quantile Search for Minimum – Time Stamping

July 2015

July 23, 2015 @ 4:00 pm

Online algorithms for robust subspace recovery

September 2015

September 17, 2015 @ 4:00 pm

Combinatorial continuum limits and their applications in data science

October 2015

October 5, 2015 @ 4:00 pm

Common Information, Information Inequalities for Networks and Some Applications to Secure Function Computation

October 15, 2015 @ 4:00 pm

Connection Between Common Information and Algebraic Structure

October 21, 2015 @ 4:00 pm

Out of this World Communications Technology

October 28, 2015 @ 4:00 pm

Learning distributions and hypothesis testing via social learning

October 29, 2015 @ 4:00 pm

Learning From Distributed Private Data: Algorithms and Applications

November 2015

November 5, 2015 @ 4:00 pm

Learning (from) networks: fundamental limits, algorithms, and applications

November 19, 2015 @ 4:00 pm

Impact of Community Structure on Cascades

December 2015

December 3, 2015 @ 4:00 pm

On the Equivalence of Simulated Annealing & Interior Point Path Following for Optimization

December 10, 2015 @ 4:00 pm

Efficient Data-Driven Learning of Sparse Signal Models and Its Applications

January 2016

January 14, 2016 @ 4:00 pm

Robust PCA: Fundamental Limits and Algorithms

January 28, 2016 @ 4:00 pm

Compressed Sensing and Parallel Acquisition

February 2016

February 11, 2016 @ 4:00 pm

Equilibria for Games with Asymmetric Information: from guesswork to systematic evaluation

February 25, 2016 @ 4:00 pm

Forecasting Cybersecurity Incidents and Its Role in Designing Incentive Mechanisms

March 2016

March 31, 2016 @ 4:00 pm

Inverse Problem Regularization Using Sparsity Models

April 2016

April 7, 2016 @ 4:00 pm

DNA coded randomized algorithms for cellular inference

April 25, 2016 @ 10:00 am

Off-the-grid Compressive Imaging: Recovery of Piecewise Constant Images from Few Fourier Samples

May 2016

May 5, 2016 @ 4:30 pm

Low-rank Matrix Completion under Monotonic Transformation

September 2016

September 1, 2016 @ 4:00 pm

Bayesian Optimization and other Bad Ideas for Hyperparameter Optimization

September 22, 2016 @ 4:30 pm

Logic, Computing, and Professional Responsibility

October 2016

October 13, 2016 @ 4:00 pm

Community Detection in Networks: Algorithms, Complexity, and Information Limits

October 24, 2016 @ 4:30 pm

Fiber-Optic Communication via the Nonlinear Fourier Transform

October 27, 2016 @ 4:30 pm

Shared Information

November 2016

November 4, 2016 @ 4:00 pm

Solving Corrupted Systems of Quadratic Equations, Provably

November 17, 2016 @ 4:30 pm

Spatially Coupled LDPC Codes: Is This What Shannon Had In Mind?

November 21, 2016 @ 4:30 pm

From Shannon to 5G: Theory and Practice of Cooperative Wireless Networking

January 2017

January 12, 2017 @ 4:00 pm

Data-Driven Methods for Sparse Network Estimation

January 26, 2017 @ 4:00 pm

Security Pre-Screening in the Design of Cyber-Insurance Policies

February 2017

February 9, 2017 @ 4:00 pm

Descending Price Auction Algorithm for Determining Market Clearing Prices in Matching Markets

February 23, 2017 @ 4:00 pm

Leveraging Union of Subspace Structure to Improve Constrained Clustering

March 2017

March 9, 2017 @ 4:00 pm

Polar Codes: Implementations and Finite-Length Analysis

March 23, 2017 @ 4:00 pm

Computational and Statistical Convergence for Graph Estimation: Just Relax

April 2017

April 6, 2017 @ 4:00 pm

Variable-length Codes for Channels with Memory and Feedback: fundamental limits and practical transmission schemes

April 13, 2017 @ 4:00 pm

Convolutional Dictionary Learning Using a Fast Block Proximal Gradient Method

May 2017

May 4, 2017 @ 4:00 pm

Private Learning and Exit Decisions in Collaboration

June 2017

June 26, 2017 @ 1:00 pm

l1 methods for tracking sparse signals

August 2017

August 29, 2017 @ 4:00 pm

Shannon's Information Measures and Markov Structures

September 2017

September 11, 2017 @ 4:30 pm

Prices and Subsidies in the Sharing Economy

September 14, 2017 @ 4:00 pm

Free Component Analysis

September 19, 2017 @ 11:00 am

Learning Large Graphs from Compressed and Subsampled Data

September 28, 2017 @ 4:00 pm

Domain Adaptation for Recommender Systems

November 2017

November 2, 2017 @ 4:00 pm

Dissipativity Theory for optimization and Machine Learning Research

November 9, 2017 @ 4:00 pm

Non-linear models for matrix completion

November 16, 2017 @ 4:00 pm

Subspace codes and rank-metric codes: List-decoding and sparse constructions

November 30, 2017 @ 4:00 pm

New perspective from Blackwell's comparisons of experiments on generative adversarial networks and differential privacy

December 2017

December 1, 2017 @ 10:00 am

Scarfs Lemma and Stable Matchings

December 7, 2017 @ 4:00 pm

Optimal first-order convex minimization methods with applications to image reconstruction and machine learning

January 2018

January 17, 2018 @ 4:00 pm

Title Medical image reconstruction using adaptive signal models

February 2018

February 6, 2018 @ 11:30 am

BATS: Network Coding in Action

February 22, 2018 @ 4:00 pm

Efficient Personalized PageRank Estimation for Many Sources and Many Targets

March 2018

March 8, 2018 @ 4:00 pm

Distributed Randomized Algorithms for Convex and Non-Convex Optimization

March 22, 2018 @ 3:30 pm

Streaming PCA with Missing Data

March 29, 2018 @ 4:00 pm

Group Symmetric Covariance Estimation

April 2018

April 2, 2018 @ 10:00 am

Stochastic Majorize-Minimize Subspace Algorithm for Large Scale Data Processing

April 5, 2018 @ 4:00 pm

Compressing the Internet Using Deep Learning: Numerical Characterization of the Internet Host Population

April 19, 2018 @ 4:00 pm

Network Algorithms and Delay Performance in Data Centers

May 2018

May 3, 2018 @ 4:00 pm

On Distributed Information Processing: Law of Small Numbers

May 10, 2018 @ 4:00 pm

Stochastic load balancing on unrelated machines

June 2018

June 14, 2018 @ 4:00 pm

Learning to detect an oddball target

June 29, 2018 @ 2:00 pm

Fast, Efficient, Scalable and Accessible Image Compression

July 2018

July 24, 2018 @ 11:00 am

Online Learning in Complex Domains

July 26, 2018 @ 10:00 am

Decision-making tools for influence propagation in social systems

September 2018

September 13, 2018 @ 4:00 pm

Learning from Big but Finite Data: Algorithms and Insights for Neural Networks

September 20, 2018 @ 4:00 pm

Primal-Dual Pi Learning Using State and Action Features

September 27, 2018 @ 4:00 pm

Language-agnostic Social Media Signal Processing

October 2018

October 18, 2018 @ 4:00 pm

Optimally Weighted PCA for High-Dimensional Heteroscedastic Data

October 25, 2018 @ 4:00 pm

Deep Exploration in Reinforcement Learning: from Thompson Sampling to Randomized Value Functions

November 2018

November 8, 2018 @ 4:00 pm

Predictive Analytics for Smart and Connected Systems

November 15, 2018 @ 4:00 pm

Seeking Relationship Support: Strategic network formation and robust cooperation

November 29, 2018 @ 4:00 pm

Fast and Slow Learning from Reviews

December 2018

December 5, 2018 @ 3:00 pm

Steins Method for Big-Data Systems: From Learning Queues to Q-Learning

December 7, 2018 @ 9:00 am

Probability on graphs: Centrality, Optimization, and Social Learning

January 2019

January 10, 2019 @ 4:00 pm

Sample complexity bounds for dictionary learning from vector- and tensor-valued data

January 24, 2019 @ 4:00 pm

Graph-Based Learning: Method and Application

February 2019

February 7, 2019 @ 4:00 pm

Bells Inequalities, Computational Geometry and the Nature of Reality Theory and Experiment

February 21, 2019 @ 4:00 pm

Information Geometry: Geometrizing Statistical Inference

March 2019

March 21, 2019 @ 4:00 pm

Reliable communication over noisy channels by Guessing Random Additive Noise Decoding (GRAND)

March 28, 2019 @ 4:00 pm

Toward Cost-Aware Machine Learning

March 29, 2019 @ 9:30 am

Powering Games with Data & AI

April 2019

April 4, 2019 @ 4:00 pm

Online Decision-Making using Prediction Oracles

April 11, 2019 @ 4:00 pm

Physical Layer Security: Secret Key Generation and a New Approach

April 18, 2019 @ 4:00 pm

Can Machine Learning be Fair in Sequential Decision Making

May 2019

May 2, 2019 @ 4:00 pm

Beyond Voting: Markets and Platforms for Societal Decision Making

May 16, 2019 @ 4:00 pm - 5:00 pm

Attain Optimal Performance by Shifting Your Goals

1005 Dow Building 2300 Hayward Street, Ann Arbor, MI, United States

June 2019

June 11, 2019 @ 2:00 pm

Recursive Stochastic Algorithms: A Markov Chain Perspective

June 14, 2019 @ 10:00 am