Seminars Sorted by Series
Theoretical Machine Learning Seminar
Feb
27
2020
Theoretical Machine Learning Seminar
Preference Modeling with Context-Dependent Salient Features
12:00pm|Dilworth Room
Mar
03
2020
Theoretical Machine Learning Seminar
What Noisy Convex Quadratics Tell Us about Neural Net Training
12:00pm|White-Levy
Mar
05
2020
Theoretical Machine Learning Seminar
Understanding Deep Neural Networks: From Generalization to Interpretability
Gitta Kutyniok
12:00pm|Dilworth Room
Mar
10
2020
Theoretical Machine Learning Seminar
Your Brain on Energy-Based Models: Applying and Scaling EBMs to Problems of Interest to the Machine Learning Community Today
Will Grathwohl
12:00pm|Dilworth Room
Mar
11
2020
Theoretical Machine Learning Seminar
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodaeu
4:00pm|Simonyi 101
Mar
26
2020
Theoretical Machine Learning Seminar
Margins, perceptrons, and deep networks
Matus Telgarsky
12:00pm|https://illinois.zoom.us/j/741628827
Mar
31
2020
Theoretical Machine Learning Seminar
Some Recent Insights on Transfer Learning
12:00pm|https://theias.zoom.us/j/384099138
Apr
02
2020
Theoretical Machine Learning Seminar
Learning Controllable Representations
12:00pm|https://theias.zoom.us/j/384099138
Apr
07
2020
Theoretical Machine Learning Seminar
Interpolation in learning: steps towards understanding when overparameterization is harmless, when it helps, and when it causes harm
Anant Sahai
12:00pm|https://theias.zoom.us/j/384099138
Apr
09
2020
Theoretical Machine Learning Seminar
Meta-Learning: Why It’s Hard and What We Can Do
3:00pm|https://theias.zoom.us/j/384099138
Apr
21
2020
Theoretical Machine Learning Seminar
Assumption-free prediction intervals for black-box regression algorithms
Aaditya Ramdas
12:00pm|https://theias.zoom.us/j/384099138
Apr
23
2020
Theoretical Machine Learning Seminar
Deep Generative models and Inverse Problems
Alexandros Dimakis
3:00pm|https://theias.zoom.us/j/384099138
Apr
30
2020
Theoretical Machine Learning Seminar
Latent Stochastic Differential Equations for Irregularly-Sampled Time Series
David Duvenaud
3:00pm|Remote Access Only - see link below
May
05
2020
Theoretical Machine Learning Seminar
Boosting Simple Learners
12:00pm|Remote Access Only - see link below
May
07
2020
Theoretical Machine Learning Seminar
Learning probability distributions; What can, What can't be done
Shai Ben-David
3:00pm|Remote Access Only - see link below
May
12
2020
Theoretical Machine Learning Seminar
Generative Modeling by Estimating Gradients of the Data Distribution
Stefano Ermon
12:00pm|Remote Access Only - see link below
May
14
2020
Theoretical Machine Learning Seminar
MathZero, The Classification Problem, and Set-Theoretic Type Theory
David McAllester
3:00pm|Remote Access Only - see link below
May
19
2020
Theoretical Machine Learning Seminar
Neural SDEs: Deep Generative Models in the Diffusion Limit
Maxim Raginsky
12:00pm|Remote Access Only - see link below
May
21
2020
Theoretical Machine Learning Seminar
Forecasting Epidemics and Pandemics
Roni Rosenfeld
3:00pm|Remote Access Only - see link below
Jun
09
2020
Theoretical Machine Learning Seminar
What Do Our Models Learn?
Aleksander Madry
12:30pm|Remote Access Only - see link below
Jun
11
2020
Theoretical Machine Learning Seminar
On Langevin Dynamics in Machine Learning
Michael I. Jordan
3:00pm|Remote Access Only - see link below
Jun
16
2020
Theoretical Machine Learning Seminar
On learning in the presence of biased data and strategic behavior
Avrim Blum
3:00pm|Remote Access Only - see link below
Jun
18
2020
Theoretical Machine Learning Seminar
The challenges of model-based reinforcement learning and how to overcome them
Csaba Szepesvari
3:00pm|Remote Access Only - see link below
Jun
23
2020
Theoretical Machine Learning Seminar
Generalizable Adversarial Robustness to Unforeseen Attacks
Soheil Feizi
12:30pm|Remote Access Only - see link below
Jun
25
2020
Theoretical Machine Learning Seminar
Instance-Hiding Schemes for Private Distributed Learning
3:00pm|Remote Access Only - see link below
Jul
07
2020
Theoretical Machine Learning Seminar
Machine learning-based design (of proteins, small molecules and beyond)
Jennifer Listgarten
12:30pm|Remote Access Only - see link below
Jul
09
2020
Theoretical Machine Learning Seminar
Role of Interaction in Competitive Optimization
Anima Anandkumar
3:00pm|Remote Access Only - see link below
Jul
14
2020
Theoretical Machine Learning Seminar
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice
Jeffrey Negrea
12:30pm|Remote Access Only - see link below
Jul
21
2020
Theoretical Machine Learning Seminar
Graph Nets: The Next Generation
Max Welling
12:30pm|Remote Access Only - see link below
Jul
23
2020
Theoretical Machine Learning Seminar
Priors for Semantic Variables
Yoshua Bengio
3:00pm|Remote Access Only - see link below
Jul
28
2020
Theoretical Machine Learning Seminar
Generalized Energy-Based Models
Arthur Gretton
12:30pm|Remote Access Only - see link below
Jul
30
2020
Theoretical Machine Learning Seminar
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning
Peter Stone
3:00pm|Remote Access Only - see link below
Aug
04
2020
Theoretical Machine Learning Seminar
Nonlinear Independent Component Analysis
Aapo Hyvärinen
12:30pm|Remote Access Only - see link below
Aug
06
2020
Theoretical Machine Learning Seminar
A Blueprint of Standardized and Composable Machine Learning
Eric Xing
3:00pm|Remote Access Only - see link below
Aug
11
2020
Theoretical Machine Learning Seminar
Statistical Learning Theory for Modern Machine Learning
John Shawe-Taylor
12:30pm|Remote Access Only - see link below
Aug
13
2020
Theoretical Machine Learning Seminar
Latent State Discovery in Reinforcement Learning
John Langford
3:00pm|Remote Access Only - see link below
Aug
18
2020
Theoretical Machine Learning Seminar
From Speech AI to Finance AI and Back
Li Deng
12:30pm|Remote Access Only - see link below
Aug
20
2020
Theoretical Machine Learning Seminar
Event Sequence Modeling with the Neural Hawkes Process
Jason Eisner
3:00pm|Remote Access Only - see link below
Aug
25
2020
Theoretical Machine Learning Seminar
Learning-Based Sketching Algorithms
Piotr Indyk
12:30pm|Remote Access Only - see link below
Aug
27
2020
Theoretical Machine Learning Seminar
Multi-Output Prediction: Theory and Practice
Inderjit Dhillon
3:00pm|Remote Access Only - see link below
Theoretical Machine Learning Seminar - PCTS Seminar Series: Deep Learning for Physics
Feb
06
2020
Theoretical Machine Learning Seminar - PCTS Seminar Series: Deep Learning for Physics
Understanding Machine Learning via Exactly Solvable Statistical Physics Models
Lenka Zdeborova
11:45am|Jadwin Hall PCTS Seminar Room 407 (Princeton University)
Feb
06
2020
Theoretical Machine Learning Seminar - PCTS Seminar Series: Deep Learning for Physics
Dynamics of Generalization in Overparameterized Neural Networks
Andrew Saxe
2:00pm|Jadwin Hall PCTS Seminar Room 407 (Princeton University)
Topics in Analysis
Jan
27
2022
Topics in Analysis
Instability and non-uniqueness in fluid dynamics - Part II: Unstable vortex ring
2:00pm|Simonyi Hall 101 and Remote Access
Feb
03
2022
Topics in Analysis
Instability and non-uniqueness in fluid dynamics - Part III: Non-uniqueness of Leray solutions
2:00pm|Simonyi Hall 101 and Remote Access
Feb
10
2022
Topics in Analysis
Instability and non-uniqueness in fluid dynamics - Part IV: Sharpness of the Yudovich class
2:00pm|Simonyi Hall 101 and Remote Access
Feb
24
2022
Topics in Analysis
H$^{1/2-}$ solutions of the 3D Euler equations - Part 1: Constructing velocity increments and placement lemmas
2:00pm|Simonyi Hall 101 and Remote Access
Mar
03
2022
Topics in Analysis
H$^{1/2-}$ solutions of the 3D Euler equations - Part 2: Low frequency error terms and the secondary iteration
Vikram Giri
2:00pm|Simonyi Hall 101 and Remote Access