November 5, 2015 @ 4:00 pm Learning (from) networks: fundamental limits, algorithms, and applications 3658
December 3, 2015 @ 4:00 pm On the Equivalence of Simulated Annealing & Interior Point Path Following for Optimization 3720
December 10, 2015 @ 4:00 pm Efficient Data-Driven Learning of Sparse Signal Models and Its Applications 3635
February 11, 2016 @ 4:00 pm Equilibria for Games with Asymmetric Information: from guesswork to systematic evaluation 3756
February 25, 2016 @ 4:00 pm Forecasting Cybersecurity Incidents and Its Role in Designing Incentive Mechanisms 3757
April 25, 2016 @ 10:00 am Off-the-grid Compressive Imaging: Recovery of Piecewise Constant Images from Few Fourier Samples 3900
September 1, 2016 @ 4:00 pm Bayesian Optimization and other Bad Ideas for Hyperparameter Optimization 3978
October 13, 2016 @ 4:00 pm Community Detection in Networks: Algorithms, Complexity, and Information Limits 4026
November 21, 2016 @ 4:30 pm From Shannon to 5G: Theory and Practice of Cooperative Wireless Networking 4059
February 9, 2017 @ 4:00 pm Descending Price Auction Algorithm for Determining Market Clearing Prices in Matching Markets 4180
February 23, 2017 @ 4:00 pm Leveraging Union of Subspace Structure to Improve Constrained Clustering 4218
March 23, 2017 @ 4:00 pm Computational and Statistical Convergence for Graph Estimation: Just Relax 4220
April 6, 2017 @ 4:00 pm Variable-length Codes for Channels with Memory and Feedback: fundamental limits and practical transmission schemes 4221
April 13, 2017 @ 4:00 pm Convolutional Dictionary Learning Using a Fast Block Proximal Gradient Method 4282
November 16, 2017 @ 4:00 pm Subspace codes and rank-metric codes: List-decoding and sparse constructions 4536
November 30, 2017 @ 4:00 pm New perspective from Blackwell's comparisons of experiments on generative adversarial networks and differential privacy 4372
December 7, 2017 @ 4:00 pm Optimal first-order convex minimization methods with applications to image reconstruction and machine learning 4567
February 22, 2018 @ 4:00 pm Efficient Personalized PageRank Estimation for Many Sources and Many Targets 4654
March 8, 2018 @ 4:00 pm Distributed Randomized Algorithms for Convex and Non-Convex Optimization 4684
April 2, 2018 @ 10:00 am Stochastic Majorize-Minimize Subspace Algorithm for Large Scale Data Processing 4645
April 5, 2018 @ 4:00 pm Compressing the Internet Using Deep Learning: Numerical Characterization of the Internet Host Population 4713
September 13, 2018 @ 4:00 pm Learning from Big but Finite Data: Algorithms and Insights for Neural Networks 4798
October 25, 2018 @ 4:00 pm Deep Exploration in Reinforcement Learning: from Thompson Sampling to Randomized Value Functions 4858
November 15, 2018 @ 4:00 pm Seeking Relationship Support: Strategic network formation and robust cooperation 4924
December 5, 2018 @ 3:00 pm Steins Method for Big-Data Systems: From Learning Queues to Q-Learning 4899
January 10, 2019 @ 4:00 pm Sample complexity bounds for dictionary learning from vector- and tensor-valued data 4968
February 7, 2019 @ 4:00 pm Bells Inequalities, Computational Geometry and the Nature of Reality Theory and Experiment 5024
March 21, 2019 @ 4:00 pm Reliable communication over noisy channels by Guessing Random Additive Noise Decoding (GRAND) 5075
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
July 22, 2019 @ 2:00 pm Faster, Deeper, and Free: Opening the Door to Better Biomedical Imaging through Signal Processing and Machine Learning 5166
September 5, 2019 @ 4:00 pm - 5:00 pm Online Learning from Preference-Feedback 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
September 12, 2019 @ 4:00 pm - 5:00 pm Learning-based Inference for Biomedical Imaging 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
September 19, 2019 @ 4:00 pm - 5:00 pm Transport and other Lagrangian Transforms for Signal Processing and Machine Learning 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
October 3, 2019 @ 4:00 pm - 5:00 pm Leveraging Coding for Distributed Computing 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
October 10, 2019 @ 4:00 pm - 5:00 pm Prism: Scaling Blockchain Consensus to Its Physical Limits 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
October 16, 2019 @ 3:30 pm - 4:30 pm How to Multiply Secret Matrices 1013 Dow Building 2300 Hayward Street, Ann Arbor, MI, United States
October 17, 2019 @ 4:00 pm - 5:00 pm Robustness to Incorrect Models and Approximations in Stochastic Control 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
October 24, 2019 @ 4:00 pm - 5:00 pm Hyper-parameter Tuning for ML Models: A Monte-Carlo Tree Search (MCTS) Approach 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
November 7, 2019 @ 4:00 pm - 5:00 pm Extreme Compression in Convex and Non-convex Inverse Problems: Role of Geometry, Priors and Measurement Design 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
November 14, 2019 @ 4:00 pm - 5:00 pm A Structural Result for Personalized PageRank and its Algorithmic Consequences 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
November 21, 2019 @ 4:00 pm - 5:00 pm Strategic Information Transmission and Deception 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
December 12, 2019 @ 4:00 pm - 5:00 pm Image Processing using the Julia Language – A Tutorial 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
January 9, 2020 @ 4:00 pm - 5:00 pm Derandomized Load Balancing using Random Walks 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
January 16, 2020 @ 4:10 pm - 5:00 pm A Framework for Interactive Learning 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
January 23, 2020 @ 4:00 pm - 5:00 pm Coding for Non-Stationary Scenarios and Low Capacity Channels 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
January 28, 2020 @ 4:00 pm - 5:00 pm Vehicle-to-Everything Communications 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States