Machine Learning for Small Molecule Identification

Lecturer : 
Huibin Shen
Event type: 
Doctoral dissertation
Doctoral dissertation
Respondent: 
Huibin Shen
Opponent: 
Professor François Laviolette, Université Laval, Canada
Custos: 
Professor Juho Rousu, Aalto University School of Science, Department of Computer Science
Event time: 
2017-03-30 12:00 to 15:00
Place: 
Aalto University School of Science, lecture hall T2, Konemiehentie 2, Espoo
Description: 

Machine Learning Coffee seminar "Differentially Private Bayesian Learning"

Lecturer : 
Antti Honkela
Event type: 
HIIT seminar
Doctoral dissertation
Respondent: 
Opponent: 
Custos: 
Event time: 
2017-03-06 09:15 to 10:00
Place: 
Seminar room T6, CS building, Konemiehentie 2, Otaniemi
Description: 
This week's speaker at the Machine Learning Coffee seminar is Antti Honkela, Assistant Professor, University of Helsinki.

Differentially Private Bayesian Learning

Abstract: Many applications of machine learning for example in health care would benefit from methods that can guarantee data subject privacy. Differential privacy has recently emerged as a leading framework for private data analysis. Differenctial privacy guarantees privacy by requiring that the results of an algorithm should not change much even if one data point is changed, thus providing plausible deniability for the data subjects.

In this talk I will present methods for efficient differentially private Bayesian learning. In addition to asymptotic efficiency, we will focus on how to make the methods efficient for moderately-sized data sets. The methods are based on perturbation of sufficient statistics for exponential family models and perturbation of gradients for variational inference. Unlike previous state-of-the-art, our methods can predict drug sensitivity of cancer cell lines using differentially private linear regression with better accuracy than using a very small non-private data set.

Machine Learning Coffee seminars are weekly seminars 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 on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room D123, unless otherwise noted. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Welcome!

 

Machine Learning Coffee seminar "Inverse Modeling in Behavioral Sciences and HCI"

Lecturer : 
Antti Oulasvirta
Event type: 
HIIT seminar
Event time: 
2017-02-27 09:15 to 10:00
Place: 
Exactum D123, Kumpula
Description: 
This week's speaker at the Machine Learning Coffee seminar is Antti Oulasvirta, Associate Professor, Aalto University.

Inverse Modeling in Behavioral Sciences and HCI

Abstract: Can one make deep inferences about a person based only on observations of how she acts? I discuss methodology for inverse modeling in behavioral sciences, where the goal is to estimate a cognitive model from limited behavioral data. Given substantial diversity in people's intentions, strategies and abilities, this is a difficult problem and previously unaddressed. I discuss advances achieved with an approach that combines (1) computational rationality, to predict how a person adapts to a task when her capabilities are known, and (2) Approximate Bayesian Computation (ABC) to estimate those capabilities. The benefit is that model parameters are conditioned on both prior knowledge and observations, which improves model validity and helps identify causes for observations. Inverse modeling methods can advance theory-formation by bringing complex behavior within reach of modeling. This talk is based on on-going collaborations with Antti Kangasraasio, Samuel Kaski, Jukka Corander, Andrew Howes, Kumaripaba Athukorala, Jussi Jokinen, Sayan Sarcar, and Xiangshi Ren.

Machine Learning Coffee seminars are weekly seminars 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 on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room D123, unless otherwise noted. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Welcome!

 

Machine Learning Coffee seminar "Compressed Sensing for Semi-Supervised Learning From Big Data Over Networks"

Lecturer : 
Alexander Jung
Event type: 
HIIT seminar
Doctoral dissertation
Respondent: 
Opponent: 
Custos: 
Event time: 
2017-02-20 09:15 to 10:00
Place: 
Konemiehentie 2, seminar room T5
Description: 

This week's speaker at the Machine Learning Coffee seminar is Alexander Jung.

Alexander Jung, Assistant Professor, Department of Computer Science, Aalto University

Compressed Sensing for Semi-Supervised Learning From Big Data Over Networks

Abstract: In this talk I will present some of our most recent work on the application of compressed sensing to semi-supervised learning from massive network-structured datasets, i.e., big data over networks. We expect the user of compressed sensing ideas to be game-changing for machine learning from big data in a similar manner as it was for digital signal processing. In particular, I will present a sparse label propagation algorithm which efficiently learn from large amounts of network-structured unlabeled data by leveraging the information provided by a few initially labelled training data points. This algorithm is inspired by compressed sensing recovery methods and allows for a simple sufficient condition on the network structure which guarantees accurate learning.

Machine Learning Coffee seminars are weekly seminars 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 on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room D123, unless otherwise noted. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Welcome!

Machine Learning Coffee seminar "Variable Selection From Summary Statistics"

Lecturer : 
Matti Pirinen
Event type: 
HIIT seminar
Event time: 
2017-02-13 09:15 to 10:00
Place: 
Exactum D123, Kumpula
Description: 

This week's speaker at our Machine Learning Coffee seminar will be

Matti Pirinen, Assistant Professor/Academy Research Fellow, Department of Mathematics and Statistics/Faculty of Medicine/FIMM, University of Helsinki

 

Variable Selection From Summary Statistics

Abstract:  With increasing capabilities to measure a massive number of variables, efficient variable selection methods are needed to improve our understanding of the underlying data generating processes. This is evident, for example, in human genomics, where genomic regions showing association to a disease may contain thousands of highly correlated variants, while we expect that only a small number of them are truly involved in the disease process. I outline recent ideas that have made variable selection practical in human genomics and demonstrate them through our experiences with the FINEMAP algorithm (Benner et al. 2016, Bioinformatics).

  1. Compressing data to light-weight summaries to avoid logistics and privacy concerns related to complete data sharing and to minimize the computational overhead.
  2. Efficient implementation of sparsity assumptions.
  3. Efficient stochastic search algorithms.
  4. Use of public reference databases to complement the available summary statistics

Machine Learning Coffee seminars are weekly seminars 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 on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room D123, unless otherwise noted. Talks will begin at 9:15 am and porridge and coffee will be served from 9:00 am.

Welcome!

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