Machine Learning Coffee Seminars2020-01-13T12:52:12+02:00

About Us

Machine Learning Coffee seminars are weekly seminars organized by Finnish Center for Artificial Intelligence (FCAI) and are held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held weekly on Mondays at 9 am – 10 am. The location alternates between Aalto University and the University of Helsinki. At Aalto University, talks will be held in Konemiehentie 2, seminar room T6 and at the University of Helsinki in Kumpula, seminar room Exactum D122 (Gustaf Hällströmin katu 2b), unless otherwise noted. Talks will begin at 9:15 am and coffee will be served from 9:00 am.

Please see FCAI’s YouTube channel for video recordings of past talks.

Subscribe to our mailing list where seminar topics are announced beforehand.

Upcoming Talks (2020)

March 2020

Algorithmization of Counterfactuals and a Probabilistic Theory of Causality

Date: March 02, 2020

Abstract: This talk discusses a Bayesian network, a probability distribution factorized along
on a diamond DAG (four nodes). At the highest layer we use noisy Boolean functions (of two variables).
When the Fourier series of these noisy Boolean functions are used in the algorithm for counterfactuals
(Pearl) we obtain easy explicit formulae for computing counterfactual probabilities.

Causality and causal inference have been/are of interest, e.g., for cognitive science, genetic epidemiology,
philosophy and AI. Philosophers have discussed the general nature of (probabilistic ) causality. At the end of this talk
one definition of a probabilistic cause is applied on the counterfactual probabilities of the diamond DAG.

Bio: Timo Koski comes from the Department of Mathematics, KTH Royal Institute of Technology, Stockholm,
and currently visiting FCAI with Prof. Jukka Corander as host. His scientific interests are probability,
genetics, causal inference and Bayesian networks.

Speaker: Professor Timo Koski

Affiliation: Department of Mathematics, KTH University

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

Interactive AI and Machine Teaching of Active Sequential Learners

Date: March 09, 2020

Abstract: Interactive intelligent systems, such as recommendation systems, are commonly based on sequential machine learners which actively choose their queries (e.g., recommendations) and learn from the responses. How to steer, or teach, such a system towards a desired goal or state? An answer in the form of a computational model of the teacher provides an approach towards modelling active planning behaviour of users in human-computer interaction.

I will talk about our recent approach towards solving the problem through machine teaching. We formulate the sequential teaching problem as a Markov decision process and address the complementary problem of learning from a teacher through probabilistic inverse reinforcement learning. In conventional machine teaching settings, the teacher provides data that are consistent with the true data distribution. However, we find that in our more constrained setting, consistent teachers can be sub-optimal. Simulated experiments and a user study with multi-armed bandit learners demonstrate empirically the benefits of the approach.

Project website is available at https://aaltopml.github.io/machine-teaching-of-active-sequential-learners/.

Speaker: Dr. Tomi Peltola

Affiliation: Curious AI

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University

TBA

Date: March 16, 2020

Speaker: Professor Roman Yangarber

Affiliation: Department of Digital Humanities, Helsinki University

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

TBA

Date: March 23, 2020

Speaker: Professor Tapio Pahikkala

Affiliation: Department of Future Technologies, University of Turku

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University

April 2020

AI-driven Health

Date: April 06, 2020

Speaker: Professor Pekka Marttinen

Affiliation: Department of Computer Science, Aalto University

Place of Seminar: Lecture Hall T5, Konemiehentie 2, Aalto University

TBA

Date: April 20, 2020

Speaker: Professor Jussi Kangasharju

Affiliation: Department of Computer Science, Helsinki University

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

TBA

Date: April 27, 2020

Speaker: Professor Jaakko Lehtinen

Affiliation: Computer and information Sciences,Aalto University

Place of Seminar: Lecture Hall T5, Konemiehentie 2, Aalto University

May 2020

TBA

Date: May 11, 2020

Speaker: Dr. Jussi Jokinen

Affiliation: Department of Communications and Networking, Aalto University

Place of Seminar: Lecture Hall T5, Konemiehentie 2, Aalto University

Organizers

Samuel Kaski Professor of Computer Science, Aalto University
Laura Ruotsalainen Professor of Computer Science, University of Helsinki
Khaoula El Mekkaoui Doctoral Student, Aalto University