Special Year Seminars

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