Special Year Calendar of Events

Workshops/Conferences

October 15-18, 2019
Workshop on Theory of Deep Learning: Where next?
November 6, 2019
Workshop on Social and Ethical Challenges in Machine Learning
November 7-8, 2019
Workshop on New Directions in Reinforcement Learning and Control
March 4-5, 2020 Workshop on Machine Learning, Theory and Method in the Social Sciences
March 16-18, 2020 Workshop on Missing Data Challenges in Computation, Statistics, and Applications
April 14-17, 2020 Special Year Workshop (more to come)

 

Public Lectures

Nearby Seminars

Theoretical Physcis and Machine Learning (1 Tuesday per month, lunch time seminar at PCTS

Graduate Seminar on "Theory of Deep Learning" (CS dept at Princeton University)

Deep Learning for Physics Seminar at Princeton University

Current Seminars

TML Tuesdays @ IAS in Dilworth Room from 12:00 pm - 1:30 pm

TML Thursdays @ IAS in Dilworth Room from 12:00 pm - 1:30 pm

Neuroscience and Machine Learning Seminar - Tuesdays @ IAS in Dilworth Room 12:00 pm - 1:30 pm (a few times per term)

Social Science and Machine Learning Seminar - Tuesdays @ IAS in Dilworth Room  12:00 pm - 1:30 pm (a few times per term)

The School of Math is currently going through a redesign.
Please go to the following link for events starting in January 2020

https://www.ias.edu/event-series/special-year-seminar-math

Tuesday, September 10th 2019

Toward theoretical understanding of deep learning
Speaker:Sanjeev Arora
Time:11:45am-1:30pm
Location:*Princeton University, McDonnell A-02*

Wednesday, September 11th 2019

To Be Announced
Speaker:To Be Announced
Time:12:00pm-1:30pm
Location:Dilworth Room

Tuesday, October 1st 2019

A geometric data structure from neuroscience
Speaker:Sanjoy Dasgupta
Time:12:00pm-1:30pm
Location:White-Levy

Tuesday, October 8th 2019

Unsupervised Ensemble Learning
Speaker:Boaz Nadler
Time:12:00pm-1:30pm
Location:White-Levy

Wednesday, October 9th 2019

Designing Fast and Robust Learning Algorithms
Speaker:Yu Cheng
Time:12:00pm-1:30pm
Location:Dilworth Room

Wednesday, October 16th 2019

Speaker:NO SEMINAR ON THIS DATE
Time:12:00pm-1:30pm
Location:Dilworth Room

Tuesday, October 22nd 2019

Machine Learning Techniques for Many-Body Quantum Systems
Speaker:Giuseppe Carleo
Time:11:45am-12:30pm
Location:*Princeton University, 407 Jadwin Hall, PCTS Seminar Room*

Tuesday, October 22nd 2019

Autoregressive Simulation of Many-Body Quantum Systems
Speaker:Or Sharir
Time:2:00pm-3:00pm
Location:*Princeton University, 407 Jadwin Hall, PCTS Seminar Room*

Wednesday, October 23rd 2019

Optimization Landscape and Two-Layer Neural Networks
Speaker:Rong Ge
Time:12:00pm-1:30pm
Location:Dilworth Room

Tuesday, October 29th 2019

TBA
Speaker:Rachel Ward
Time:12:00pm-1:30pm
Location:White-Levy

Tuesday, November 5th 2019

On implicit regularization and autotuning of normalization in deep learning
Speaker:Rachel Ward
Time:12:00pm-1:30pm
Location:White-Levy

Wednesday, November 6th 2019

Speaker:No Seminar - Workshop on Social and Ethical Challenges in Machine Learning
Time:12:00pm-1:30pm
Location:

Tuesday, November 12th 2019

Fast IRLS Algorithms for p-norm regression
Speaker:Sushant Sachdeva
Time:12:00pm-1:30pm
Location:White-Levy

Wednesday, November 13th 2019

Some Statistical Results on Deep Learning: Interpolation, Optimality and Sparsity
Speaker:Guang Cheng
Time:12:00pm-1:30pm
Location:Dilworth Room

Friday, November 15th 2019

Can learning theory resist deep learning?
Speaker:Francis Bach
Time:12:30pm-1:30pm
Location:Princeton University, Computer Science - Room 105

Tuesday, November 19th 2019

TBA
Speaker:Kyle Cranmer
Time:11:45am-12:30pm
Location:*Princeton University, 407 Jadwin Hall, PCTS Seminar Room*

Tuesday, November 19th 2019

TBA
Speaker:James Halverson
Time:2:00pm-3:00pm
Location:*Princeton University, 407 Jadwin Hall, PCTS Seminar Room*

Wednesday, November 20th 2019

Nonconvex Minimax Optimization
Speaker:Chi Jin
Time:12:00pm-1:30pm
Location:Dilworth Room

Tuesday, November 26th 2019

A Fourier Analysis Perspective of Training Dynamics of Deep Neural Networks
Speaker:Yaoyu Zhang
Time:11:30am-12:30pm
Location:White-Levy

Tuesday, December 3rd 2019

A distributional code for value in dopamine-based reinforcement learning
Speaker:Matthew Botvinick
Time:3:00pm-4:30pm
Location:Princeton Neuroscience Institute, Room A32

Tuesday, December 17th 2019

How will we do mathematics in 2030 ?
Speaker:Michael R. Douglas
Time:12:00pm-1:30pm
Location:White-Levy

The School of Math is currently going through a redesign.
Please go to the following link for events starting in January 2020

https://www.ias.edu/event-series/special-year-seminar-math