Fireside Chat with Stefanie Jegelka

(39:30)

Optimisation of graph neural networks | Humboldt Professor Stefanie Jegelka

(2:23)

Robust Learning via Robust Optimization - Stefanie Jegelka

(29:58)

Learning with Graphs and Combinatorial Structures with Stefanie Jegelka

(15:25)

Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts \u0026 loss functions

(50:2)

Stefanie Jegelka: An introduction to Submodularity, Part 1

(1:40)

CSAIL Alliances Researcher Spotlight: Stefanie Jegelka

(6:35)

Stefanie Jegelka -- What Can Neural Networks Represent?

(39:41)

Stefanie Jegelka: Theory of Graph Neural Networks: Representation and Learning

(46:11)

Submodularity - Stefanie Jegelka - MLSS 2017

(1:38:58)

IAIFI Summer Workshop 2023 - Stefanie Jegelka

(43:7)

Stefanie Jegelka - Representation and Learning in Graph Neural Networks

(57:17)

Stefanie Jegelka: Representation and Learning in Graph Neural Networks

(41:39)

Stefanie Jegelka: \

(27:13)

Stefanie Jegelka: An introduction to submodularity, Part 2

(31:19)

Stefanie Jegelka 1: Submodularity

(1:24:36)

ML4A 2021 - Stefanie Jegelka

(41:38)

Representational Power of Graph Neural Networks - Stefanie Jegelka

(27:53)

July 24th 1 Stefanie Jegelka Negative Dependence and Machine Learning

(51:7)

Stefanie Jegelka 2: Submodularity

(1:38:52)