Start date cannot be after end date.
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
Fei Fang - Machine Learning and Game Theory for Social Impact
Presenter
- Fei Fang
February 19, 2022
IPAM
Nika Haghtalab - Learning and Persuading with Anecdotes
Presenter
- Nika Haghtalab
February 18, 2022
IPAM
Mathematical foundations for human-level intelligence (Part 1): Cooperative communication as belief transport
Presenter
- Patrick Shafto
November 22, 2021
IAS
New Problems and Perspectives on Sampling, Memory, and Learning
Presenter
- Gregory Valiant
April 13, 2021
IMSI