2019 Information Theory and ApplicationsWorkshop

Sunday–Friday, February 10–15

Catamaran Resort, Pacific Beach, San Diego

A casual gathering of researchers applying theory to diverse areas in science and engineering

Plenary Sessions

This year, plenary talks will be replaced by plenary sessions, each devoted to an important emerging topic.
Monday

6G

Moderator
Speaker
Tuesday

Distributed Learning

Moderator
Wednesday

Mining Higher-Order Structures in Networks

Speaker
Thursday

Algorithmic Fairness

Moderator
Friday

Denial in Machine Learning

Schedule Outline

Sunday, February 10th, 2019
6:30 PMOpening Ceremony: reception with heavy hors d'oeuvres and personal caricature drawing in the Aviary room
Monday, Tuesday, Thursday Default Schedule
8:15 AMBreakfast (included with registration)
9:00 AMSessions
10:20 AMBreak
10:40 AMSessions
12:00 PMLunch break (catered on Monday, Wednesday, and Friday; other days on your own)
1:30 PMPlenaries
2:55 PMBreak
3:10 PMSessions
4:10 PMBreak
4:30 PMSessions
Monday, February 11th, 2019
9:00 AMSessions: LDPC 1, Coding Theory, Shannon Theory, Multiple Access and Distribution Systems, Machine Learning in Wireless Communications
10:40 AMSessions: LDPC 2, Information Theoretic Privacy, Statistical Learning, Signal Processing 1, Deep Learning and Applications
12:00 PM
1:30 PMPlenary Session: 6-G — Jeff Andrews, Andrea Goldsmith, Yury Polyanskiy, John Smee
3:10 PMSessions: Error Correction, Caching, Blockchains 1, Uncoordinated Multiple Access, Statistics
4:30 PMSessions: Coded Computation, Estimation and Detection, Topics in Communications, Neuroscience , Reinforcement Learning 1
Tuesday, February 12th, 2019
9:00 AMSessions: Data Storage, Information-Related, MIMO, Source Coding, Private Learning, Machine Learning Theory 1
10:40 AMSessions: Topics in Coding 1, Interference, 5G, Network Information Theory and Secrecy, Statistical Learning , Machine Learning
12:00 PM Lunch (on your own), soccer and volleyball by the beach (see registration desk for lunch purchase)
1:30 PMPlenary Session: Distributed Learning — Nati Srebro, Alex Dimakis, Brendan McMahan, Ayfer Özgür
3:10 PMSessions: Private Information Retrieval , Sequences and Sparsity, Millimeter Wave, Feedback and Channel Coding, Federated Learning, Bandits and Matrix Decomposition
4:30 PMSessions: Topics in Coding 2, DNA-Based Storage and Coded Computing, Wireless Networks, Age of Information, Distributed Learning, Algorithms for Testing and Learning
6:30 PMFun With Your Creative Brain: Playful exercises designed to spark your creativity and exercise your sense of humor
Wednesday, February 13th, 2019
9:00 AMGraduation Day talks, part 1
10:20 AMBreak
10:40 AMGraduation Day talks, part 2
12:00 PMGraduation Day posters and catered lunch
2:00 PMPlenary Session: Mining Structures in Networks — Olgica Milenkovic, David Gleich, Jiawei Han, Jure Leskovec
3:30 PMGroup photo
3:50 PMThe ITALENT Show — The unexpected talent of ITA participants, with prizes and surprises (till 5pm)
6:15 PMBanquet reception at the Aviary (ticket required) and fire show on the lawn
7:00 PMBanquet and Luau show (ticket required)
Thursday, February 14th, 2019
9:00 AMSessions: Coding for Memory, Storage and Computation, Information Measures , Privacy and Fairness in Machine Learning 1, Game Theory 1, Decision Making, Optimization in Learning 1
10:40 AMSessions: Coded Computing and Physical Layer Security, Community Detection and Representation Learning, Privacy and Fairness in Machine Learning 2, Probability and Learning , Distributed Learning, Robust Learning
12:00 PMLunch (on your own); soccer, volleyball, and other games by the beach (see registration desk for lunch purchase)
1:30 PMPlenary Session: Algorithmic Fairness — Maya Gupta, Karthikeyan Ramamurthy, Omer Reingold, Suresh Venkatasubramanian
3:10 PMSessions: Wireless Communications , Graph Signal Processing 1, Privacy and Fairness in Machine Learning 3, Theoretical Computer Science , Optimization in Learning 2, Graphical Models
4:30 PMSessions: Wireless Channels and Networks, Graph Signal Processing 2, High-Dimensional Statistics, Ranking and Online Learning, Non-Convex Optimization, Inference and Estimation
6:30 PMViva Valentine — A cruise aboard the W.D. Evans, with entertainment and a chance to form new friendships and collaborations
Friday, February 15th, 2019
9:00 AMPlenary Session: Denial in Machine Learning — Dimitris Achlioptas, Edo Liberty, Christopher Ré, Benjamin Recht
10:40 AMSessions: Neuroscience 2, On Fairness, Optimization, Topics in Coding 3, Theory of Deep Learning, Learning and Estimation
10:20 AMBreak
12:00 PMStudent posters and lunch
1:40 PMSessions: Neuroscience 3, Learning and Prediction, Reinforcement Learning 2, Game Theory 2, Machine Learning Theory 2, Learning Theory 1
2:40 PMBreak
3:00 PMSessions: Neuroscience 4, Scheduling and Queuing , Blockchains 2, Age of Information 2, Learning Theory 2, Fairness and Privacy
4:00 PMClosing Ceremony and Farewell Bash

Daily Schedule

Every day, two sessions will be held on the W.D. Evans Sternwheeler shown in the background

Location Location Location

Catamaran Resort, Pacific Beach, San Diego

The Catamaran kindly gave us the same rates as last year: Garden view: $142, Ocean/bay view studio: $154, Ocean/bay view suite: $169. Parking at Catamaran lot available for $25/day. In past years we ran out of rooms, so please book soon.

EATA

Sun 6:30
Sun 6:30
Mon 12:30 - 2
Wed 12
Wed 6:30
Fri 12:30
Fri 4:30

Special Events

Information Theory Society
Information Theory Society
Light Lunch Served
Graduation Day
Graduation Day
Research Overview Presentations
Viva Valentine
Viva Valentine
Evening Food and Fun
Student Posters
Student Posters
Show off your research!

Code of Conduct

The ITA workshop and community are built upon the core values of collegiality, support, and dignity for all, and we endorse the conference codes of conduct adopted by the ACM, IEEE, and the Information Theory Society. Disrespectful, offensive, and inappropriate behavior is not welcome at our events. If you observe such behavior, please inform one of our staff or email us at ita@ucsd.edu.