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Introductory Workshop: Probability and Statistics of Discrete Structures: Clustering of vertices in random hypergraphs
Presenter
- Lasse Leskela
January 27, 2025
SLMath
Introductory Workshop: Probability and Statistics of Discrete Structures: Some easy optimization problems have the overlap-gap property
Presenter
- Shuangping Li
January 27, 2025
SLMath
Introductory Workshop: Probability and Statistics of Discrete Structures: Do there exist expanders with non-negative curvature?
Presenter
- Justin Salez
January 27, 2025
SLMath
Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA
Presenter
- Xuexin Wei
September 25, 2024
IPAM
Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 3 of 3 - IPAM at UCLA
Presenter
- Ida Momennejad
September 13, 2024
IPAM
Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 1 of 2 - IPAM at UCLA
Presenter
- Ida Momennejad
September 10, 2024
IPAM
From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
FedCBO: Reaching Group Consensus in Clustered Federated Learning and Robustness to Backdoor Adversarial Attacks.
Presenter
- Nicolas Garcia Trillos
May 10, 2024
ICERM
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery
Presenter
- Louis-Martin Rousseau
March 1, 2023
IPAM
Daniel Cremers - Deep Learning: Challenges and Perspectives - IPAM at UCLA
Presenter
- Daniel Cremers
November 29, 2022
IPAM
Mahdi Soltanolkotabi - Machine Learning and Computational Imaging
Presenter
- Mahdi Soltanolkotabi
September 13, 2022
IPAM