Improved Information Theoretic Generalization Bounds

Media Summary: A Google TechTalk, presented by Leighton Pate Barnes, Princeton University, at the 2021 Google Federated Learning and ... Workshop on Theory of Deep Learning: Where next? Topic: Tightening ... can start now yeah okay so today i'm going to talk about uh some

Improved Information Theoretic Generalization Bounds - Detailed Analysis & Overview

A Google TechTalk, presented by Leighton Pate Barnes, Princeton University, at the 2021 Google Federated Learning and ... Workshop on Theory of Deep Learning: Where next? Topic: Tightening ... can start now yeah okay so today i'm going to talk about uh some Speaker: Gergely Neu (Universitat Pompeu Fabra) Hanie Sedghi (Google Brain) Frontiers of Deep Learning. The full paper is publically available at: This is a talk given by Zhun Deng ...

Invited talk by Amy Zhang (UC Berkeley and Facebook AI Research) on June 7, 2021 at UCL DARK. Abstract: The benefit of ...

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Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning

Sathyawageeswar Subramanian (Cambridge) — Information-theoretic generalization bounds for learning

Tightening information-theoretic generalization bounds with data-dependent estimate... - Daniel Roy

Stanford CS229M - Lecture 7: Challenges in DL theory, generalization bounds for neural nets

Badr-Eddine Cherief-Abdellatif: Information theoretic generalization bounds for SGD

Generalization bounds for Neural Network Based Decoders

Lecture 9: Information-Theoretic Generalization Bounds for Stochastic Gradient Descent (English)

Size-free Generalization Bounds for Convolutional Neural Networks

ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds

Stanford CS229M - Lecture 8: Refined generalization bounds for neural nets, Kernel methods

Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

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Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning

A Google TechTalk, presented by Leighton Pate Barnes, Princeton University, at the 2021 Google Federated Learning and ...

Sathyawageeswar Subramanian (Cambridge) — Information-theoretic generalization bounds for learning

Sathyawageeswar Subramanian (Cambridge) — Information-theoretic generalization bounds for learning

Title:

Tightening information-theoretic generalization bounds with data-dependent estimate... - Daniel Roy

Tightening information-theoretic generalization bounds with data-dependent estimate... - Daniel Roy

Workshop on Theory of Deep Learning: Where next? Topic: Tightening

Stanford CS229M - Lecture 7: Challenges in DL theory, generalization bounds for neural nets

Stanford CS229M - Lecture 7: Challenges in DL theory, generalization bounds for neural nets

For more

Badr-Eddine Cherief-Abdellatif: Information theoretic generalization bounds for SGD

Badr-Eddine Cherief-Abdellatif: Information theoretic generalization bounds for SGD

... can start now yeah okay so today i'm going to talk about uh some

Generalization bounds for Neural Network Based Decoders

Generalization bounds for Neural Network Based Decoders

Ravi Tandon (University of Arizona) https://simons.berkeley.edu/talks/ravi-tandon-university-arizona-2023-05-22 ...

Lecture 9: Information-Theoretic Generalization Bounds for Stochastic Gradient Descent (English)

Lecture 9: Information-Theoretic Generalization Bounds for Stochastic Gradient Descent (English)

Speaker: Gergely Neu (Universitat Pompeu Fabra)

Size-free Generalization Bounds for Convolutional Neural Networks

Size-free Generalization Bounds for Convolutional Neural Networks

Hanie Sedghi (Google Brain) https://simons.berkeley.edu/talks/tbd-74 Frontiers of Deep Learning.

ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds

ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds

The full paper is publically available at: https://proceedings.mlr.press/v162/kawaguchi22a.html This is a talk given by Zhun Deng ...

Stanford CS229M - Lecture 8: Refined generalization bounds for neural nets, Kernel methods

Stanford CS229M - Lecture 8: Refined generalization bounds for neural nets, Kernel methods

For more

Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK

Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK

Invited talk by Amy Zhang (UC Berkeley and Facebook AI Research) on June 7, 2021 at UCL DARK. Abstract: The benefit of ...

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Workshop on

Generalization Bounds for Uniformly Stable Algorithms

Generalization Bounds for Uniformly Stable Algorithms

Vitaly Feldman (Google) https://simons.berkeley.edu/talks/