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0:54:43
Cambridge Seminar Series Alex Tong
0:55:29
Cambridge Ellis Seminar series – Simon Olsson – 15 November 2024
0:53:16
ELLIS Seminar Series Prof Po Ling Loh Differentially private M estimation via noisy optimization
0:54:48
ELLIS Seminar Series - Dr. Rika Antonova
1:00:39
Cambridge ELLIS Seminar Series - Dr Tian Xie
0:36:53
Halting Climate Change- Carl Edward Rasmussen- NeurIPS@Cambridge- 8 Dec 2023
1:00:35
Cambridge Ellis Unit Seminar Series – Dr Manuel Gomez Rodriguez – 31 Jan 2023- 2pm
0:27:42
Andrew Thomas To reify or not to reify the graph
0:28:37
Bob Carpenter Comprehension, maps, and partial evaluation in differentiable programming with appli
0:30:00
Zichun Ye MindIR the intermediate representation of MindSpore
0:34:08
Chris Rackauckas Integrating solvers w/ probabilistic programming through differentiable programming
0:35:08
Sharad Vikram Jaxprs dead simple, surprisingly versatile
0:39:43
Maria Gorinova Program Analysis of Probabilistic Programs
0:56:55
Carl Henrik Ek Bayesian Non Parametrics P2
0:58:08
Carl Henrik Ek Bayesian Non Parametrics P1
0:40:15
Cecily Morrison Human Centric AI: The Opportunity of Teachable AI Systems
1:04:58
Tom Rainforth Bayesian Experimental Design and Active Learning P2
0:41:13
Jose Miguel Hernandez Lobato The Linearized Laplace Approximation in Bayesian Neural networks P3
1:02:55
Tom Rainforth Bayesian Experimental Design and Active Learning P1
0:58:30
Petar Veličković Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives Part 1
0:45:21
Petar Veličković Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives Part 2
0:58:20
Petar Veličković Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives Part 3
0:46:28
David Krueger AI Safety and Alignment- Part 1
0:45:31
Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems Part 2
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