I gave a talk for the workshop on how the synthesis of logic and device Understanding, Particularly parts including statistical relational learning, can permit interpretability.
Past 7 days, I gave a chat within the pint of science on automatic units as well as their impact, referring to the topics of fairness and blameworthiness.
The paper tackles unsupervised application induction about mixed discrete-ongoing info, and is approved at ILP.
Should you be attending NeurIPS this year, chances are you'll be interested in trying out our papers that contact on morality, causality, and interpretability. Preprints can be found to the workshop web page.
Our paper (joint with Amelie Levray) on learning credal sum-item networks is acknowledged to AKBC. This sort of networks, as well as other kinds of probabilistic circuits, are desirable given that they promise that specified varieties of likelihood estimation queries may be computed in time linear in the size of your community.
I gave a chat on our modern NeurIPS paper in Glasgow whilst also masking other ways at the intersection of logic, Mastering and tractability. Due to Oana with the invitation.
We've a fresh paper acknowledged on Finding out best linear programming targets. https://vaishakbelle.com/ We choose an “implicit“ speculation design solution that yields nice theoretical bounds. Congrats to Gini and Alex on obtaining this paper accepted. Preprint right here.
A journal paper has been recognized on prior constraints in tractable probabilistic types, offered around the papers tab. Congratulations Giannis!
Connection In the last 7 days of October, I gave a chat informally discussing explainability and ethical obligation in artificial intelligence. Due to the organizers for your invitation.
, to help systems to learn faster and much more accurate models of the world. We have an interest in producing computational frameworks that can easily reveal their choices, modular, re-usable
Prolonged abstracts of our NeurIPS paper (on PAC-Understanding in first-buy logic) as well as the journal paper on abstracting probabilistic models was approved to KR's not too long ago published exploration track.
A journal paper on abstracting probabilistic designs has become recognized. The paper research the semantic constraints that enables a person to abstract a complex, lower-amount product with a simpler, higher-stage a person.
Our Focus on synthesizing designs with loops in the existence of sounds will show up from the Intercontinental journal of approximate reasoning.
Our paper on synthesizing plans with loops within the presence of probabilistic sounds, recognized the journal of approximate reasoning, has also been approved on the ICAPS journal monitor. Preprint to the full paper here.