2020 Information Theory and ApplicationsWorkshop
Sunday–Friday, February 2–7
Catamaran Resort, Pacific Beach, San Diego
A casual gathering of researchers applying theory to diverse areas in science and engineering
Presenting at ITA
ITA presentations are by invitation only. If you have not been to ITA, or you are listed as not-presenting and would like to give a talk, please email us a short description of your proposed presentation. If you are a student and would like to present a poster, please also include your advisor’s name and email. If you are a graduating student or a postdoc and would like to participate in Graduation Day, please ask your advisor to nominate you.
This year’s workshop will also feature special invited sessions, consisting of 3–4 speakers. If you would like to organize such a session, please email us the proposed topic and potential speakers.
Please send all emails to ita@ucsd.edu.
Plenary Sessions
Monday
Deep Learning for Source and Channel Coding
Tuesday
Reinforcement Learning
Thursday
Constrained Learning
Friday
Deep Learning
Invited Sessions
Scroll or Swipe to view all
Ahmed Arafa
Mai Vu
Ori Shantal
Alex Dimakis
Sewoong Oh
Paul Hand
Houssam Abbas
Ali Agha
Nikolay Atanasov
Alex Alemi
Gil Shamir
Rohan Anil
Julian Grady
Hamid Jafarkhani
Yasser Shoukry
Ankur Mehta
Jamie Haddock
Vagelis Papalexakis
Longxiu Huang
Alona Kryshchenko
Jorge Poveda
Xudong Chen
Jason Marden
Ben Recht
Surya Ganguli
Lenka Zdeborova
Giulio Biroli
Marylou Gabrie,
Ashia Wilson
Lillian Ratliff
Nihar Shah
Farzad Farnoud
Mahdi Cheraghchi
Ilan Shomorony
Zhiying Wang
Vikas Dhiman
Konstantinos Karydis
Ziv Goldfeld
Xianfeng Gu
Xiugang Wu
Marco Mondelli
Matus Telgarsky
Quanquan Gu
Nathan Srebro
Rachel Cummings
Gautam Kamath
Clement Canonne
Ameya Velingker
David Woodruff
Cameron Musco
Samson Zhou
Aditya Bhaskara
Pradeep Ravikumar
Anshumali Shrivastava
Gautam Dasarathy
Giulia Pedrielli
Basak Guler
Antonio Marques
Solmaz Kia
Yanning Shen
Santiago Segarra
Farshad Lahouti
Geert Leus
Badih Ghazi
Abhradeep Thakurta
Ayfer Ozgur
Jayadev Acharya
Gauri Joshi
Hamed Hassani
Salman Avestimehr
Rashmi Vinayak
Viveck Cadambe
Saeid Sahraei
Adam Smith
Audra McMillan
Vitaly Feldman
Shahab Asoodeh
Adam MacLean
Siavash Mirarab
Sriram Sankararaman
Yana Safonova
Guannan Qu
Abhishek Gupta
Christina Lee Yu
R. Srikant
Mehryar Mohri
Peter Kairouz
Ananda Theertha Suresh
Arya Mazumdar
Himanshu Tyagi
Satyen Kale
Aryan Mokhtari
Swanand Kadhe
David Tse
Aniket Kate
Dahlia Malhki
Swati Gupta
Nadia Fawaz
Flavio Calmon
Steven Wu
Jiantao Jiao
Ludwig Schmidt
Lalitha Sankar
Cyrus Rashtchian
Peter Grunwald
Aaditya Ramdas
Urbashi Mitra
Amit Sahai
Ioannis Mitliagkas
Chi Jin
Mahdi Soltanolkotabi
Meisam Razaviyayn
Jung Hyun Bae
Krishna Narayanan
Lele Wang
Soheil Mohajer
Schedule Outline
| Sunday, February 2nd, 2020 | |
|---|---|
| 3:30 PM | Kick off the workshop with Super Bowl LIV live at the Plumeria Suite, food and drinks. |
| 6:30 PM | Opening Ceremony: reception with heavy hors d'oeuvres and south-of-the-border entertainment! |
| Default Schedule | |
|---|---|
| 8:15 AM | Breakfast (included with registration) |
| 9:00 AM | Sessions Begin |
| Monday, February 3rd, 2020 | |
|---|---|
| 9:00 AM | |
| 9:50 AM | Break |
| 10:00 AM | Sessions: Timely Transmissions, Deep Generative Models, Machine Learning Applications I, Coding Theory I, Deep Learning I |
| 11:00 AM | Break |
| 11:20 AM | Sessions: Shannon Theory, Deep Learning II, Wireless I, Robotics and Control I, Data Fitting |
| 12:20 AM | Lunch |
| 1:30 PM | Plenary Session: Deep Learning for Source and Channel Coding — Alex Dimakis, Rebecca Willet, Pramod Viswanath |
| 2:40 PM | Break |
| 2:50 PM | Sessions: Coding Theory II, Information Theory to Practical Learning, General Machine Learning, Robotics and Control II, Tensor Methods |
| 4:30 PM | Sessions: Coding Theory III, Communication Channels I, Wireless III, Optimization I, Coding and Caching |
| Evening | Predict, watch, and debate the Iowa Caucuses results, the opening salvo of a crazy election year. |
| Tuesday, February 4th, 2020 | |
|---|---|
| 9:00 AM | Sessions: Coding and Computing I, Learning Theory I, Physics and Machine Learning, Coding Theory IV, Wireless IV, Communication Channels II |
| 10:20 AM | Break |
| 10:40 AM | Sessions: Control and Game Theory, Information Theory and Statistics, People, AI, and Fairness, DNA Storage, Wireless V, Source and Channel Coding |
| 12:00 PM | Lunch |
| 1:40 PM | Plenary Session: Reinforcement Learning — Ben Recht, Elad Hazan, Sham Kakade |
| 2:50 PM | Break |
| 3:10 PM | Sessions: Reinforcement Learning I, Graphs and Matrices, Robotics and Control III, Statistics I, Deep Learning in Communications, Deep Learning III |
| 4:10 PM | Break |
| 4:30 PM | Sessions: Control Theory I, Sparsity, Coding Theory V, Wireless VI, Information Theory of Learning I, Reinforcement Learning II |
| Evening | State of the Union Address, Cheer and Jeer the POTUS State of the Union Address. |
| Wednesday, February 5th, 2020 | |
|---|---|
| 9:00 AM | Sessions: Trustworthy Machine Learning, Deep Learning IV, Security, Optimal Transport, Wireless Communication |
| 10:00 AM | Break |
| 10:20 AM | Graduation Day talks, part 1 |
| 11:00 AM | Break |
| 11:20 AM | Graduation Day talks, part 2 |
| 12:00 PM | Graduation Day posters and catered lunch |
| 2:20 PM | Plenary Session: Algorithmic Game Theory — Vijay Vazirani, Ruta Mehta, Joel Sobel |
| 3:30 PM | Group photo |
| 4:00 PM | Contraventional : A broader view of Machine Learning and An Update from NSF |
| 5:00 PM | Break |
| 6:15 PM | Banquet reception at the Aviary (ticket required) |
| 7:00 PM | Quinceañera Banquet with surpises and prizes(ticket required) |
| Thursday, February 6th, 2020 | |
|---|---|
| 9:00 AM | Sessions: Theory of Deep Learning, Learning Theory II, Online Learning I, Differentially Private Statistics, Low-Rank Approximation, Wireless VII |
| 10:20 AM | Break |
| 10:40 AM | Sessions: Learning in Graphs, Deep Learning V, High Dimensional Statistics, Coding and Computing II, Overparametrization, Optimization II |
| 12:00 PM | Lunch (on your own); soccer, volleyball, and other games by the beach |
| 1:40 PM | Plenary Session: Constrained Learning — Gregory Valiant, Ran Raz, Kunal Talwar |
| 2:50 PM | Break |
| 3:10 PM | Sessions: Federated Learning: Compression & Privacy, Control Theory II, Learning in Networks, Age of Information, Graph Signal Processing I, Coded Computing and Learning |
| 4:10 PM | Break |
| 4:30 PM | Sessions: Coding and Information retrieval, Bioinformatics, Distributed Learning, Estimation, and Testing, Privacy-preserving ML, Graph Signal Processing II, Robust Learning I |
| 5:50 PM | Break |
| 7:00 PM | Bonfire by the ocean |
| Friday, February 7th, 2020 | |
|---|---|
| 9:00 AM | Sessions: Topics in machine learning theory, Privacy and Fairness in ML, Federated Learning: Theory and Practice, Block Chain, Algorithm for Matrices and Network, Statistics and Mathematics |
| 10:20 AM | Break |
| 10:40 AM | Sessions: Reinforcement Learning III, Quantum Theory, Online Learning II, Optimization III, Robust Learning II, Deep Learning VI |
| 12:00 PM | Student Posters and Lunch |
| 1:40 PM | Plenary Session: Deep Learning — Kamalika Chaudhuri, Ruslan Salakhutdinov, Daniel Roy |
| 2:50 PM | Break |
| 3:05 PM | Sessions: Statistics III, Theory meets Practice, Optimization for Federated Learning, Optimization and Deep Learning, Games and Adversaries, Coding for Networks |
| 4:25 PM | Break |
| 4:35 PM | Closing Ceremony and Farewell Bash |
| Saturday, February 8th, 2020 | |
|---|---|
| 8:30 - 4:00 | Learn to Do: Deep- and Reinforcement-learning tutorials and expository machine-learning talks. |
Location Location Location
Catamaran Resort, Pacific Beach, San Diego
The Catamaran kindly gave us similar rates as last year: Garden view: $146, Studio: $159, Ocean/bay view suite: $174. Parking: $26/day. In past years we ran out of rooms, so please book soon.
Special Events
Social Events
Learn To Do
Tutorials and expository talks on Machine Learning
Saturday 2/8, 8:30 - 4:00, at the Catamaran. Registration required.
EATA
Daybreak
8:15 AM
Nightcap
6:30 PM
Reception
6:30 PM
IT-Session Lunch
(for Attendees Only)
12:30-2 PM
Graduation
Lunch
12 PM
Banquet
6:30 PM
Poster Lunch
12:30 PM
Farewell
4:30 PM
Sponsors
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.