Seminars Sorted by Series
Workshop on the h-principle and beyond
Nov
01
2021
Workshop on the h-principle and beyond
Mather-Thurston’s theory, non abelian Poincare duality and diffeomorphism groups
Sam Nariman
2:15pm|Simonyi 101 and Remote Access
Nov
02
2021
Workshop on the h-principle and beyond
The many facets of complexity of Beltrami fields in Euclidean space
Daniel Peralta-Salas
9:00am
Nov
02
2021
Workshop on the h-principle and beyond
Holonomic Approximation through Convex Integration
Mélanie Theilliere
10:15am|Simonyi 101 and Remote Access
Nov
02
2021
Workshop on the h-principle and beyond
Lefschetz fibrations on the Milnor fibers of cusp singularities and applications
Yoshihiko Mitsumatsu
11:45am|Simonyi 101 and Remote Access
Nov
02
2021
Workshop on the h-principle and beyond
Chaos in the incompressible Euler equation on manifolds of high dimension
Francisco Torres de Lizaur
2:15pm|Simonyi 101 and Remote Access
Nov
03
2021
Workshop on the h-principle and beyond
The flexibility of caustics and its applications
Daniel Alvarez-Gavela
11:45am|Simonyi 101 and Remote Access
Nov
03
2021
Workshop on the h-principle and beyond
Hamiltonian geometry behind compressible fluids
2:15pm|Simonyi 101 and Remote Access
Nov
03
2021
Workshop on the h-principle and beyond
A Controlled Mather Thurston Theorem
Mike Freedman
4:00pm|Simonyi 101 and Remote Access
Nov
04
2021
Workshop on the h-principle and beyond
Regularity of the limit set of embedded Poincaré Disks
Vincent Borelli
9:00am|Simonyi 101 and Remote Access
Nov
04
2021
Workshop on the h-principle and beyond
A topological view on the Monge-Ampere equation without convexity assumptions
10:15am|Simonyi 101 and Remote Access
Nov
04
2021
Workshop on the h-principle and beyond
Ampleness up to avoidance
Alvaro del Pino Gomez
11:45am|Simonyi 101 and Remote Access
Nov
04
2021
Workshop on the h-principle and beyond
Flexibility in $C^{0}$ symplectic geometry
Lev Buhovsky
2:15pm|Simonyi 101 and Remote Access
Nov
05
2021
Workshop on the h-principle and beyond
A h-principle for locally conformal symplectic structures
Mélanie Bertelson
10:15am|Simonyi 101 and Remote Access
Nov
05
2021
Workshop on the h-principle and beyond
Flexibilization as localization
Oleg Lazarev
11:45am|Simonyi 101 and Remote Access
Nov
05
2021
Workshop on the h-principle and beyond
On some geometry-grounded problems involving PDEs, Dynamics, and discretization
Dmitri Burago
2:15pm|Simonyi 101 and Remote Access
Workshop on Theory of Deep Learning: Where Next?
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Emergent linguistic structure in deep contextual neural word representations
Chris Manning
9:30am|Wolfensohn Hall
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
What 2-layer neural nets can we optimize?
10:10am|Wolfensohn Hall
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Fixing GAN optimization through competitive gradient descent
Anima Anandkumar
11:10am|Wolfensohn Hall
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Tightening information-theoretic generalization bounds with data-dependent estimates with an application to SGLD
Daniel Roy
11:50am|Wolfensohn Hall
Oct
15
2019
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Is optimization the right language to understand deep learning?
2:30pm|Wolfensohn Hall
Oct
15
2019
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
PAC-Bayesian approaches to understanding generalization in deep learning
Karolina Dziugaite Roy
4:00pm|Wolfensohn Hall
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Overcoming the Curse of Dimensionality and Mode Collapse
4:30pm|Wolfensohn Hall
Oct
15
2019
Workshop on Theory of Deep Learning: Where Next?
Are All Features Created Equal?
Aleksander Madry
5:00pm|Wolfensohn Hall
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
Energy-based Approaches to Representation Learning
Yann LeCun
9:30am|Wolfensohn Hall
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
On Large Deviation Principles for Large Neural Networks
10:10am|Wolfensohn Hall
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain
Michael Collins
11:10am|Wolfensohn Hall
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
On the Connection between Neural Networks and Kernels: a Modern Perspective
Simon Du
11:50am|Wolfensohn Hall
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
From Classical Statistics to Modern ML: the Lessons of Deep Learning
Mikhail Belkin
2:30pm|Wolfensohn Hall
Oct
16
2019
Oct
16
2019
Workshop on Theory of Deep Learning: Where Next?
Towards a theoretical foundation of neural networks
4:00pm|Wolfensohn Hall
Oct
16
2019
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Learning Representations Using Causal Invariance
Leon Bottou
9:30am|Wolfensohn Hall
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Understanding the inductive bias due to dropout
10:10am|Wolfensohn Hall
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Interpreting Deep Neural Networks
Bin Yu
11:10am|Wolfensohn Hall
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Designing Explicit Regularizers for Deep Models
Tengyu Ma
11:45am|Wolfensohn Hall
Oct
17
2019
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Kernel and Rich Regimes in Deep Learning
Nati Srebro
2:30pm|Wolfensohn Hall
Oct
17
2019
Oct
17
2019
Workshop on Theory of Deep Learning: Where Next?
Provably Efficient Reinforcement Learning with Linear Function Approximation
4:00pm|Wolfensohn Hall
Oct
17
2019
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Reinforcement Learning, Deep Learning,
and the Role of Policy Gradient Methods
Sham Kakade
9:30am|Wolfensohn Hall
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Machine Learning
Surya Ganguli
10:10am|Wolfensohn Hall
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Concentration inequalities for random matrix products
11:10am|Wolfensohn Hall
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Representational Power of Graph Neural Networks
Stefanie Jegelka
11:50am|Wolfensohn Hall
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Spotlight Talks
Zhiyuan Li, John Zarka, Stanislav Fort
12:30pm|Wolfensohn Hall
Oct
18
2019
Workshop on Theory of Deep Learning: Where Next?
Are All Features Created Equal
2:30pm|Wolfensohn Hall
Oct
18
2019
Oct
18
2019