Demystifying and Mitigating Unfairness for Machine Learning over Graphs

Demystifying and Mitigating Unfairness for Machine Learning over Graphs

52:15 |

Related Videos

Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling

1:12:26

Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling

Quantum Signal Processing

1:04:40

Quantum Signal Processing

Spectrum Sharing for 5G and Beyond: A Network Economics View

1:13:44

Spectrum Sharing for 5G and Beyond: A Network Economics View

Deep Networks from First Principles

1:24:06

Deep Networks from First Principles

How to Schedule Near-Optimally under Real-World Constraints

1:14:35

How to Schedule Near-Optimally under Real-World Constraints

Interdependent privacy in third-party apps: past, present, and future

1:03:47

Interdependent privacy in third-party apps: past, present, and future

Towards a Theoretical Understanding of Parameter-Efficient Fine-Tuning (and Beyond)

1:14:19

Towards a Theoretical Understanding of Parameter-Efficient Fine-Tuning (and Beyond)

Signal Processing/Communications and Controls Pathways Seminar Spring 2024

54:51

Signal Processing/Communications and Controls Pathways Seminar Spring 2024

Rethinking the Theoretical Foundation of Reinforcement Learning

1:06:11

Rethinking the Theoretical Foundation of Reinforcement Learning

Computational Imaging through Atmospheric Turbulence

1:01:26

Computational Imaging through Atmospheric Turbulence

Robust Learning by Double Over-Parameterization

1:14:00

Robust Learning by Double Over-Parameterization

Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

1:10:57

Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

Interactive Communications

1:03:46

Interactive Communications

Communication and Sensing: From Compressed Sampling to Model-based Deep Learning

1:09:44

Communication and Sensing: From Compressed Sampling to Model-based Deep Learning

MLE and the EM algorithm for Mixtures: Minimax Results

1:10:06

MLE and the EM algorithm for Mixtures: Minimax Results

Signal Processing/Communications and Controls Pathways Seminar Spring 2024 - With Captions

54:52

Signal Processing/Communications and Controls Pathways Seminar Spring 2024 - With Captions

Adaptive Discretization For Reinforcement Learning

1:17:53

Adaptive Discretization For Reinforcement Learning

Permutation-Free Kernel Hypothesis Tests

54:40

Permutation-Free Kernel Hypothesis Tests

Signal Processing and Communications Pathway Seminar

55:46

Signal Processing and Communications Pathway Seminar

Stochastic Analysis and Design of Secure and Scalable Blockchain protocols

1:17:41

Stochastic Analysis and Design of Secure and Scalable Blockchain protocols