Jun
28
9:00 AM09:00
ELLIS Workshop on Probabilistic Numerics and Physics-Informed Learning
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Jun
17
2:00 PM14:00
Maximilian Naegele: Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
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Jun
10
2:00 PM14:00
Mine Dogucu: Updating Beliefs on Bayesian Education: Reflections on Research and Teaching Projects
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May
23
9:30 AM09:30
May
22
4:00 PM16:00
CRAI-CIS Seminar: Using AI bias to mitigate poverty
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May
20
2:00 PM14:00
Mikko Koivisto: Bayesian inference of causal graphs: where we are and where we should go
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May
13
4:30 PM16:30
May
6
2:15 PM14:15
Matias Turkulainen: NeRFs and 3D Gaussian Splatting: Survey and Applications in 3D Computer Vision
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Apr
29
5:00 PM17:00
Apr
22
2:00 PM14:00
Michael Mathioudakis: Algorithms for Efficient Machine Learning (ML)
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Apr
16
9:30 AM09:30
Apr
8
2:15 PM14:15
Mikko Mäkelä: Bayesian optimization for design of experiments
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Mar
28
10:15 AM10:15
David Leslie: Reinforcement learning in bandits and games
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Mar
25
2:00 PM14:00
Chen He: VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models
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Mar
18
4:30 PM16:30
Mar
11
2:00 PM14:00
Mashrura Musharraf: Navigating Tomorrow: Putting People at the Helm of Maritime Digitalization and Automation
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Feb
26
2:00 PM14:00
Daniel Schmidt: Fast and Accurate Probabilistic Time Series Classification
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Feb
12
2:15 PM14:15
Martin Trapp: Flexible and Efficient Probabilistic Modeling with Tractable Circuits
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Jan
29
2:00 PM14:00
Ayush Bharti: Robust and sample-efficient simulation-based inference
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Jan
23
9:30 AM09:30
Jan
15
4:30 PM16:30