Virtual Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

Location: Room 3

Monday, November 01
09:45 - 11:15
Attend D-13: Machine Learning I	Room 3

Attend D-14: Machine Learning II	Room 3

Attend D-15: Machine Learning with Graphs (invited)	Room 3
11:15 - 12:45
Attend D-18: Theory for Machine Learning	Room 3

Attend D-19: Theory of Reinforcement Learning (invited)	Room 3

Attend D-8: Deep Learning and Reinforcement Learning	Room 3

Tuesday, November 02
09:45 - 11:15
Attend C-2: Deep Learning for Wireless Networks (invited)	Room 3

Attend C-5: Learning for Wireless and Sensor Networks	Room 3

Attend C-8: Optimization and Monitoring of Wireless Networks	Room 3

Attend D-10: Estimation and Inference II	Room 3

Attend D-11: Estimation and Inference III	Room 3

Attend D-12: Machine Learning for Data Distributions (invited)	Room 3

Attend D-9: Estimation and Inference I	Room 3
11:15 - 12:45
Attend C-1: Decentralized Learning	Room 3

Attend C-3: Federated Learning (invited)	Room 3

Attend C-9: Reinforcement Learning over Networks (invited)	Room 3

Attend D-16: Model-based Deep Learning for Inverse Problems in Imaging (invited)	Room 3

Attend D-17: Robust Learning with Maximum Correntropy Criterion (invited)	Room 3

Attend D-2: Adversary-Resilient Distributed Machine Learning (invited)	Room 3

Wednesday, November 03
08:15 - 09:45
Attend C-4: Inference on Graphs	Room 3

Attend C-6: Learning with Brain Connectomes (invited)	Room 3

Attend C-7: Network Science and Applications	Room 3

Attend D-3: Algorithms for Data Analytics I	Room 3

Attend D-4: Algorithms for Data Analytics II	Room 3

Attend D-6: Applications of Data Analytics	Room 3
09:45 - 11:15
Attend C-10: Representation and Learning on Graphs (invited)	Room 3

Attend C-11: Signal Processing over Graphs	Room 3

Attend C-12: Trends in Graph Signal Processing (invited)	Room 3

Attend D-1: Advances in Coupled Matrix and Tensor Factorizations, with Application to Remote Sensing (invited)	Room 3

Attend D-5: Applications of (Machine) Learning	Room 3

Attend D-7: Data Analytics for Radar Systems	Room 3