2023 Information Theory and ApplicationsWorkshop

Sunday–Friday, February 12–17

Wyndham Bayside, San Diego

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

A bit ab't ITA

The "Information: Theory and Applications" (ITA) workshop is a multidisciplinary meeting of academic and industrial researchers applying theory to diverse scientific and technological disciplines. Unlike most conferences, ITA presentations are by invitation only. Speakers are encouraged to present their best and most accessible work of the year, regardless of whether it appeared elsewhere. Instead of plenary talks, ITA features plenary sessions, where prominent researchers present complimentary views of timely topics. Students present at poster sessions with catered lunch, and outstanding graduating students and postdocs selected by their home institutions present at Graduation Day, with awards for the best received talks.

ITA strives to innovate, and aims to bring students, researchers, and faculty together via ice-breaking, networking, and social events. It keeps the participants sated via catered breakfasts and 2-3 lunches, and morning, afternoon, and evening refreshments.

If you are interested in participation in ITA 2023, presenting a talk, organizing a session, or organizing a social event, please write to us at ita@ucsd.edu.

Plenary Sessions

Monday

Three Cheers for Information Theory

Yale University
UC Los Angeles
UC Los Angeles
Tuesday

Coding and Complexity

University of Michigan
Wednesday

Quantum Computation

Columbia
Thursday

Deep Learning Theory

Friday

Machine and Deep Learning Applications

Google Research
Google Research
Microsoft Research

Invited Sessions

Scroll or Swipe to view all

Distributed Inference and Task-Oriented Communications
Yuval Cassuto

Ivan Bajic

Yuval Cassuto

Yongjune Kim

Federated Learning & Analytics
Peter Kairouz

Salman Avestimehr

Kamalika Chaudhuri

Suhas Diggavi

Ayfer Ozgur

Blockchains
Sriram Vishwanath

Sriram Vishwanath

Tsung-Ting Kuo

Robust Learning
Lalitha Sankar

Sanmi Koyejo

Pouria Saidi

Lalitha Sankar

Ramya Korlakai Vinayak

Learning and Control-I
Jorge Poveda

James Anderson

Takashi Tanaka

Kaiqing Zhang

Mihailo Jovanovic

Learning and Control-II
Yang Zheng

Jason Marden

Bahman Gharesifard

Dileep Kalathil

Statistical Learning Theory for Control-II
Nikolai Matni

Samet Oymak

Stephen Tu

Yingying Li

Nikolai Matni

Tools from AoI, Network Science and SIT to address online misinformation
Melih Bastopcu

Ahmed Arafa

Melih Bastopcu

Yin Sun

Fairness and robustness in machine learning-I
Ahmad Beirami

Hamed Hasani

Pariskhit Gopalan

Yao Qin

Ludwig Schmidt

Differential privacy-I
Ananda Theertha Suresh

Vitaly Feldman

Badih Ghazi

Janardhan Kulkarni

Vahab Mirrokni

EnCORE Session on Distributed Learning & Decision Making I
Arya Mazumdar

Tianyi Chen

Mahdi Soltanolkotabi

César A Uribe

EnCORE Session on Distributed Learning & Decision Making II
Aritra Mitra

Mahnoosh Alizadeh

Tamer Basar

Mohammad Ghavamzadeh

EnCORE Session on Distributed Learning & Decision Making III
Abolfazl Hashemi

Babak Hassibi

R. Srikant

Aryan Mokhtari

Ramtin Pedarsani

EnCORE Session on Distributed Learning & Decision-Making IV
Aritra Mitra

Thinh Doan

Aritra Mitra

Abolfazl Hashemi

Girish Nair

Differential privacy-II
Hilal Asi

Audra Mcmillan

Meisam Razaviyayn

Abhradeep Thakurtha

Ananda Theertha Suresh

Fairness and robustness in machine learning-II
Meisam Razaviyayn

Ahmad Beirami

Jaroslaw Blasiok

Flavio Calmon

Vatsal Sharan

Privacy and Security in Machine Learning
Kamalika Chaudhuri

Chuan Guo

Adel Javanmard

Oliver Koust

Ravi Tandon

Information-Theoretic Tools for Trustworthy ML
Flavio Calmon

Viveck Cadambe

Mario Diaz

Berk Ustun

Hilal Asi

Schedule

The schedule has been finalized. We will post the student and graduation day poster and talks by Thursday 2/9.
A few slots are still available, if you would like to speak, please write us.



Sunday, February 12th
6:30 AMReception, Harborside - just south of Tower 1 towards Tower 3
Monday, February 13th
8:00 AMBreakfast, all daily breakfasts included with registraion
9:00 AMSessions: Bandit Algorithms ; Information Theory 1 ; Next Generation Wireless Communications: 6G ; Federated Learning ; Distributed Inference and Task-Oriented Communications
10:20 AMBreak, refreshments
10:40 AMSessions: Approximate Message Passing, Graph Codes and Causality; Coding Theory 1; Machine Learning for Wireless Communication; Privacy: Information Retrieval and Computaion; Robust Machine Learning
12:00 PMKnow Thy Neighbour: Lighning Introductions, catered lunch
1:30 PMPlenary: Three Cheers for Information Theory , Matthieu Bloch, Andrew Barron, Lara Dolecek, Emina Soljanin
3:00 PMSessions: Reinforcement Learning 1; Channel Coding; Quantum Coding and Information Theory; Innovations in Federated Learning; Federated Learning & Analytics
4:20 PMBreak, light refreshments
4:30 PMAlumni in Industry: Academia-Industry collaborations, Christina Fragouli , Tingfang Ji, Peter Kairouz, Sujay Sanghavi, Sreeram Kannan
5:30 PMReception, food
6:00 PMEnd
Tuesday, February 14th
8:00 AMBreakfast
9:00 AMSessions: Low-Density Parity Check (LDPC) Codes; Information Theoretic Cryptography; Machine Learning; Deep Neural Network Analysis; Estimation and Detection
10:20 AMBreak, refreshments
10:40 AMSessions: Error Correcting Codes and List Decoding; Compression, Communication and Capacity; Data-Centric, Online, and Self-Supervised Learning; Optimization and Robustness; Multiclass and Robust Classification
12:00 PMInformation Theory Society Town Hall, Matthieu Bloch, ITA Society President, catered lunch
1:20 PMBreak
1:30 PMPlenary: Coding compexlity — Venkatesan Guruswami, Mahdi Cheraghchi, Sivakanth Gopi
2:45 PMBreak, light refreshments
3:00 PMSessions: Statistics; Compression, Prediction and Information Inequalities; Communication Theory; Coding Theory 2; Statistical Learning and Random Sequences
4:20 PMBreak, refreshments
4:40 PMSessions : Blockchains; Coding Theory 3; Wireless Communication; Domain Generalization, Nonparametirc Estimation and Fair Inference; Quantum: Annealing, Detection and Learning
5:40 PMBreak, on your own
5:50 PMValentine's Day Social, Fun Games and Team Building, food served
7:30 PMEnd
Wednesday, February 15th
8:00 AMBreakfast, at Krishna Lounge
9:00 AMGraduation Day Presentations, at Cat, Barbie and Ken
10:20 AMBreak, refreshments
10:40 AMGraduation Day Presentations, at Cat, Barbie and Ken
12:00 PMGraduation Day Posters, at Mac (outdoor terrace between towers 1 and 3), catered lunch
2:00 PMPlenary: Quantum Computing — Umesh Vazirani, Geoff Penington, Henry Yuen, at Barbie and Ken
3:00 PMBreak, light refreshments
3:45 PMStart Your Own Open-AI, Quinn Li, Meir Feder, Sriram Vishwanath, Experienced Experts Discuss Starting Tech Companies, at Barbie and Ken
4:45 PMBreak, on your own
6:00 PMBanquet: Dinner and Entertainment, ticket required, at Cheese(Harborside, between towers 1 and 3)
9:30 PMEnd
Thursday, February 16th
8:00 AMBreakfast, at Krishna Lounge
9:00 AMSessions: Fairness and Robustness in Machine Learning 1 ; Online Learning; Information Theory 2; Learning and Control 1 ; Diffusion Models and Distributed Computations ; Efficient Algorithms and Lower bounds
10:20 AMBreak, refreshments
10:40 AMSessions: Tools from Aoi, Network Science and SIT to Address Online Misinformation ; Game Theory: Spectrum Sharing, Reinforcement Learning and Matching Markets; Optimal Transport; Distributed Learning & Decision Making 1; Domain Adaptation, Age of Information and Inference Control; Physical Layer Privacy, Secure Communication and Wireless Communication
11:40 AMNSF Updates, Alhussein Abouzeid & Alfred Hero from NSF will discuss new programs and funding opportunities, at Cat
Hello Boss, students and postdocs meet internship mentors, postdoc advisors, and employers, at Mouse
Lunch on your own
1:40 PMPlenary: Deep Learning Theory — Nathan Srebro, Andrea Montanari, Matus Telgarsky
2:55 PMBreak, light refreshments
3:10 PMSessions : Differential Privacy 1 ; Machine Learning and Applications; Machine Learning and Neural Nets; Robust Learning; Coding Theory 4; Statistical Learning Theory for Control
4:30 PMBreak, refreshments
4:50 PMSessions : Graphs: Manifold Learning, Compression and Combinatorial Statisitics; Reinforcement Learning 2; Deep Learning; Distributed Learning & Decision Making 2; Coding Theory 5; Learning and Control 2
5:50 PMEnd
Friday, February 17th
8:00 AMBreakfast
9:00 AMSessions: Privacy and Security in Machine Learning; Fairness and Robustness in Machine Learning 2; Trustworthy Machine Learning; Distributed Learning & Decision Making 3; Distributed Learning; Statistics and Learning Theory
10:20 AMBreak, refreshments
10:40 AMSessions : Differential Privacy 2; Game Theory 1; Optimization; Robust Learning in Presence of Adversaries; Optimal Algorithms and Generative Modelling; Control Theory and Reinforcement Learning
12:00 PMStudent Posters, catered lunch
2:00 PMPlenary: Machine Learning Applications — Vahab Mirrokni, Aakanksha Chowdhery, Sebastien Bubeck
3:15 PMBreak, light refreshments
3:30 PMSessions : Information-Theoretic Tools for Trustworthy ML ; Game Theory 2; Deep Learning and Optimization; Distributed Learning & Decision Making 4
4:50 PMFarewell Bash, Food and Goodbye
6:00 PMEnd

Daily Schedule

Every day, two sessions will be held on the Bahia Belle shown in the background

Location Location Location

Wyndham Bayside, San Diego

The Wyndham is exquisitely located on San Diego’s thriving waterfront with spectacular views, a stone throw away from many of San Diego’s best known attractions and restaurants. All rooms are similarly sized and with balconies, they differ mainly in the view. Standard rooms face a courtyard or pool $155, Skyline view rooms face a modern high-rise neighborhood $170, Bay view rooms have spectacular views of the SD Bay, marina, airport, and Coronado Island $185. Please book soon Block rates no longer available. Please email us for further information., especially if you would like to stay over Presidents’ weekend, reservations cancellable up to three days prior to arrival.

Nearby Attractions

Special Events

Alumni in Industry
Alumni in Industry
How academics interact with industry. Reception follows.

Christina Fragouli

Information Theory Society
IT Society
President's address and town hall. Lunch served.

Matthieu Bloch

Graduation Day
Graduation Day
Research Overview Presentations.
Jury awarded prizes.
Graduation Day
Start the new FTX OpenAI
Hear from pros how to start your own company.
An Update from NSF
NSF Opportunities
New programs and funding opportunities.

Alhussein Abouzeid & Alfred Hero

Student Posters
Poster Perfect
Student posters & yummy lunch


Social Events

To mark Valentine’s Day week, we will hold several activities that bring together students, postdocs, researchers, and faculty, foster new friendships and research collaborations, and facilitate employment and mentorship opportunities.

Free No Free Lunch Lunch
Know Thy Neighbor
Lightning intros to fellow participants.
Create your “ITA Business Card”.

Rick Wesel

Valentine’s Day Social
Valentine’s Day Social
Valentine’s day event with games, food and social interaction
Hello Boss
Hello Boss
Fun and Games
Fun and Games
Games and other fun activities
Final Bash
Final Bash
Fun, food and farewell!

Learn To Do

Tutorials and expository talks on Machine Learning

Saturday 2/8, 8:30 - 4:00, at the Catamaran. Registration required.

Deep learning
Deep Learning
Reinforcement learning
Reinforcement Learning
Robert Kleinberg, Cornell, and Alex Slivkins, Microsoft
Safety and Luckiness
Safety and Luckiness
Machine Learning
Machine Learning

EATA

Daybreak

Daily
8:15 AM

Nightcap

Daily
6:30 PM

Reception

Sun
6:30 PM

IT-Session Lunch

(for Attendees Only)

Mon
12:30-2 PM

Graduation
Lunch

Wed
12 PM

Banquet

Wed
6:30 PM

Poster Lunch

Fri
12:30 PM

Farewell

Fri
4:30 PM

Sponsors

QualcommQualcomm InstituteSamsungUCSD HDSIUCSD HDSI

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.