Moderator:
Adith Swaminathan, Senior Researcher, Microsoft Research Redmond
Speakers:
Javier González Hernández, Principal Researcher, Microsoft Research Cambridge
Justin Ding, Principal Researcher, Microsoft Research Asia
Daniel McDuff, Principal Researcher, Microsoft Research Redmond
Causal machine learning is poised to be the next AI revolution, providing a firm foundation for robust predictions, efficient decisions and human-interpretable explanations. This panel brings together a subset of experts across the Microsoft Research labs to describe their explorations in the frontier of causal ML research. You will learn how MSR approaches explainable AI using causality, how open simulators like CausalCity can accelerate causal discovery, how recommender systems can perform robust counterfactual reasoning, and how important applications in healthcare are enabled by our latest advances in causal ML.
Learn more about the 2021 Microsoft Research Summit:
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2 months ago 00:04:27 1
Havel - The Black Blade
7 months ago 01:36:00 1
Архангельский Д. Intro into Panel Data Methods. Lecture 3: Synthetic control and DiD.
10 months ago 00:03:32 1
SPERM WHALES ’ADOPT’ DEFORMED DOLPHIN
11 months ago 01:41:23 1
Pace e mondo multipolare, stop al massacro di Gaza.
12 months ago 02:25:57 1
Panel 4. The Post-Soviet Eurasia
12 months ago 00:15:29 1
How Time Becomes Space Inside a Black Hole | Space Time
12 months ago 00:11:48 1
Superluminal Time Travel + Time Warp Challenge Answer
12 months ago 00:05:33 1
The Race to a Habitable Exoplanet - Time Warp Challenge | Space Time
1 year ago 00:16:07 1
The Geometry of Causality
1 year ago 00:14:40 3
How the Quantum Eraser Rewrites the Past | Space Time | PBS Digital Studios
2 years ago 00:01:00 47
éS | Tom Penny | The Signature Penny Accel OG RS
2 years ago 01:38:37 1
Trustworthy AI and Machine Understanding - Ben Goertzel, Joscha Bach, Monica Anderson
3 years ago 00:37:53 3
Panel: Causal ML at Microsoft
3 years ago 00:25:28 1
Panel: Causal ML Research at Microsoft
3 years ago 00:45:10 1
Panel: Causal ML in industry
3 years ago 01:22:25 11
Professor George Ellis - How Can Physics Underlie the Mind? Top-Down Causation in the Human Context
6 years ago 00:32:30 5
TDLS: Learning Functional Causal Models with GANs - part 2 (results and discussion)
6 years ago 00:45:24 8
TDLS: Learning Functional Causal Models with GANs - part 1 (algorithm review)