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
January 30, 2020 @ 4:00 pm - 5:00 pm Learning from Multiple Biased Sources 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
February 13, 2020 @ 4:00 pm - 5:00 pm Capacity upper bounds for deletion-type channels 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
February 27, 2020 @ 4:00 pm - 5:00 pm CANCELLED: Seminar by Paramveer Dhillon 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
March 12, 2020 @ 4:00 pm - 5:00 pm Nonconvex Optimization Meets Statistics: A Few Recent Stories 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
March 19, 2020 @ 4:00 pm - 5:00 pm CANCELED: Seminar by Mert Gurbuzbalaban 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
March 26, 2020 @ 4:00 pm - 5:00 pm (Remote) A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics Remote/Virtual
April 2, 2020 @ 4:00 pm - 5:00 pm CANCELED: Seminar by Achilleas Anastasopoulos 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
April 9, 2020 @ 4:00 pm - 5:00 pm CANCELED: Communication-Efficient and Straggler-Resilient Distributed Learning 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
April 23, 2020 @ 4:00 pm - 5:00 pm CANCELLED: Online Optimization and Energy 1005 EECS Building 1301 Beal Ave, Ann Arbor, MI, United States
September 3, 2020 @ 4:00 pm - 5:00 pm Stochastic Analysis and Design of Secure and Scalable Blockchain protocols
October 1, 2020 @ 4:00 pm - 5:00 pm Discrete choice with irrelevant alternatives: models and lower bounds on testing
November 5, 2020 @ 4:00 pm - 5:00 pm FAMILY: Foundations and Applications of Machine Intelligence Lab for societY Remote/Virtual
November 12, 2020 @ 4:00 pm - 5:00 pm Adaptive Discretization For Reinforcement Learning Remote/Virtual
November 19, 2020 @ 4:00 pm - 5:00 pm Learning via early stopping and untrained neural nets Remote/Virtual
December 3, 2020 @ 4:00 pm - 5:00 pm Approximate planning and learning in partially observed systems Remote/Virtual
December 10, 2020 @ 4:00 pm - 5:00 pm Connections between Online Learning and Differential Privacy Remote/Virtual
January 29, 2021 @ 9:30 am - 10:30 am Fastest Identification in Linear Systems, Joint work with Yassir Jedra Remote/Virtual
February 4, 2021 @ 4:00 pm - 5:00 pm Reinforcement Learning for Mean Field Games with Strategic Complementarities Remote/Virtual
February 18, 2021 @ 4:00 pm - 5:00 pm A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous, Value-Based Reinforcement Learning Algorithms Remote/Virtual
March 18, 2021 @ 4:00 pm - 5:00 pm MLE and the EM algorithm for Mixtures: Minimax Results Remote/Virtual
March 25, 2021 @ 4:00 pm - 5:00 pm Communication-Efficient Optimization Methods for Federated Learning Remote/Virtual
April 1, 2021 @ 4:00 pm - 5:00 pm Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State Remote/Virtual
April 15, 2021 @ 4:00 pm - 5:00 pm Risk-Sensitive Market Clearing for the Modern Power System Remote/Virtual
April 22, 2021 @ 4:00 pm - 5:00 pm Postponed: Seminar by Aylin Yener, ECE/CSE/IE @ OSU Remote/Virtual
April 22, 2021 @ 4:00 pm - 5:00 pm Adaptive Design of Switchback Experiments: A Markov Chain Perspective Remote/Virtual
September 2, 2021 @ 4:00 pm - 5:00 pm Multiclass and Multi-Label Learning with General Losses: What is the Right Output Coding and Decoding? Remote/Virtual
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