Accepted papers Call for papers Key dates Fees Registration Proceedings Scientific committee Sponsors Contact Schedule TFML 2015 SIGML

Plenary lectures

Gal Chechik "Large-scale machine learning for understanding images"
Bogusław Cyganek "Multi-dimensional Data Classification – Theory and Applications"
Krzysztof Dembczyński "Extreme Zero-Shot Learning"
slides
Krzysztof Geras "Recent advances in model compression"
slides
Eyke Hüllermeier "Superset learning and data imprecisiation"
slides
Marius Kloft "Extreme Classification: Tighter Bounds, Distributed Training, and new Algorithms"
slides
Peter Kolb "In silico searches for small-molecule ligands in chemical space"
Amos Storkey "Rise of the Adversary"

Accepted papers

Following papers have been accepted for Journal Track of our conference:
Katarzyna Janocha , Wojciech Marian Czarnecki, On Loss Functions for Deep Networks in Classification
Agnieszka Nowak - Brzezińska, Tomasz Rybotycki Impact of clustering parameters on the efficiency of knowledge mining process in rule-based knowledge bases
Grzegorz Jurdziński Word embeddings for morphologically complex languages
Igor Sieradzki, Stanisław Jastrzębski On certain limitations of Recursive Representation model
Sarunas Raudys, Aistis Raudys, Zidrina Pabarskaite, Gene Biziuleviciene Portfolio inputs selection from imprecise training data
Ameur Douib, David Langlois, Kamel Smaili A Translation Evaluation Function based on Neural Network
Mirosław Kordos Data Selection For Neural Networks
Grzegorz Surówka Search for resolution invariant wavelet features of melanoma learned by a limited ANN classifier
Krzysztof Adamiak, Krzysztof Ślot Misclassification-Driven Sample Relabeling for Supervised Kernel Principal Component Analysis
Łukasz Struski, Marek Śmieja, Bartosz Zieliński, Jacek Tabor Regression SVM for incomplete data
Bartosz Sądel, Bartłomiej Śnieżyński Online supervised learning approach for machine scheduling
Maciej Brzeski, Przemysław Spurek Uniform Cross-entropy clustering
Jacek Klimaszewski, Marcin Korzeń Optimization of l^p-regularized Linear Models via Coordinate Descent
Magdalena Wiercioch Towards Learning Word Representation
Kalina Jasińska, Krzysztof Dembczyński, Nikos Karampatziakis Extreme classification under limited space and time budget
Vitalik Melnikov, Pritha Gupta, Bernd Frick, Daniel Kaimann, Eyke Hüllermeier Pairwise versus Pointwise Ranking: A Case Study

Latebreaking track talks

Following talks have been accepted for Latebreaking track:
Krzysztof Hajto, Konrad Kamieniecki, Krzysztof Misztal, Przemysław Spurek Split-and-merge Tweak in Cross Entropy Clustering
slides
Jarosław Duda Molecular shape descriptors and representing complex sets/densities through evolution of parameters of cross-section
slides
Marek Śmieja, Jacek Tabor, Oleksandr Myronov Logistic regression with pairwise constraints
slides
Ziemowit Sławiński Adverse Event Detection in Medical Safety Reports at Roche

About

Conference on Theoretical Foundations of Machine Learning (TFML 2017) will take place in Kraków, Poland, on February 13-17, 2017. We invite submissions of papers addressing theoretical aspects of machine learning and related topics. We strongly support a broad definition of learning theory, including, but not limited to:
  • Theoretical foundations of
    • supervised learning
    • unsupervised learning
    • semi-supervised learning
    • deep learning
    • active learning
    • concept drift
    • natural language processing
    • neuroinformatics
  • cheminformatics
    • drug design
    • activity prediction
    • representation learning
  • generalization bounds
  • optimization methods
  • computational complexity of learning
  • information theoretic learning

Conference is organized by Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University.

Conference materials

Proceedings

Place

The conference will take place at Jagiellonian University, at the Faculty of Mathematics and Computer Science, Cracow, Łojasiewicza 6, room 1016.


Directions

Key dates

  • paper submission - 30 Nov 11 Dec 2016
  • decision notification - 5 Jan 2017
  • camera ready version - 11 17 Jan 2017
  • registration 5-19 Jan 2017
  • conference - 13-17 Feb 2017

Registration

In order to register for TFML conference you have to: The registration fee of 600 PLN (150 euro) should be transfered to:
IBAN: PL61 1240 4722 1111 0000 4860 4116
BIC Code of Bank Pekao SA: PKOPPLPW
Uniwersytet Jagielloński, 31-007 Kraków, Gołębia 24
As a title of the transfer use the following template.
TFML 13-17.02.2017 SURNAME NAME

Fees

Registration fee of 600 PLN (150 euro) covers:
  • presentation slot
  • publication of one paper
  • dinners
  • coffee breaks
  • gala dinner
  • proceedings
There is possibility of discounts for phd students.

Call for papers

Original, unpublished research papers can be submitted through easychair system. They will be peer reviewed and after acceptance and presentation during the TFML conference published in Schedae Informaticae Journal.

Submission format

Papers should be prepared in English, according to the Schedae Informaticae template (LaTeX template). Page limit (including references, and other additional materials) is 8 pages (soft limit) and a hard limit of 10 pages. Papers longer than 10 pages will be rejected without reviewing. The final paper accepted for the conference should be no longer than 20 pages.

Double-blind review

Papers will be selected via a double-blind peer-review process (the reviewers will not know the identities of the authors, and vice versa). It will be up to the authors to ensure the proper anonymization of their paper. In particular, the first page cannot include names or affiliations of the authors. When referring to one's own work, use the third person, rather than the first person. Violation of the above rules may lead to rejection without review.

Submit your paper

EasyChair submission system is now open. submit your paper

Publication

All papers will be peer-reviewed. All accepted papers will be published in Schedae Informaticae Journal1. At least one author of each publication has to attend the conference and present it during oral/poster session.

1For Polish scientists, this journal is located on the B list of the Polish Ministry of Science and Higher Education, with 11pts.
www.ejournals.eu/Schedae-Informaticae/


Schedae Informaticae - Publishing Contract
Schedae Informaticae - Umowa wydawnicza

Schedule

Each plenary lecture has 60 min + 10 min discussion time slot.

Plenary lectures

  1. K. Dembczyński "Extreme Zero-Shot Learning"
  2. G. Chechik "Large-scale machine learning for understanding images"
  3. K. Geras "Recent advances in model compression"
  4. B. Cyganek "Multi-dimensional Data Classification – Theory and Applications"
  5. A. Storkey "Rise of the Adversary"
  6. E. Hüllermeier "Superset learning and data imprecisiation"
  7. M. Kloft "Extreme Classification: Tighter Bounds, Distributed Training, and new Algorithms"
  8. P. Kolb "In silico searches for small-molecule ligands in chemical space"

Each presentation at oral session has a 25 min + 5 min discussion time slot.

Session 1

  1. Split-and-merge Tweak in Cross Entropy Clustering
  2. Data Selection For Neural Networks
  3. Portfolio inputs selection from imprecise training data

Session 2

  1. Towards Learning Word Representation
  2. Impact of clustering parameters on the efficiency of knowledge mining process in rule-based knowledge bases
  3. Word embeddings for morphologically complex languages
  4. Online supervised learning approach for machine scheduling

Session 3

  1. Misclassification-Driven Sample Relabeling for Supervised Kernel Principal Component Analysis
  2. Pairwise versus Pointwise Ranking: A Case Study
  3. Regression SVM for incomplete data

Session 4

  1. Adverse Event Detection in Medical Safety Reports at Roche
  2. Optimization of l^p-regularized Linear Models via Coordinate Descent
  3. Logistic regression classifier with pairwise constraints

Session 5

  1. On Loss Functions for Deep Networks in Classification
  2. On certain limitations of Recursive Representation model
  3. Extreme classification under limited space and time budget

Session 6

  1. Models for personalized recommendations in Brainly

Session 7

  1. Uniform Cross-entropy clustering
  2. Molecular shape descriptors
  3. Search for resolution invariant wavelet features of melanoma learned by a limited ANN classifier
  4. A Translation Evaluation Function based on Neural Network

Co-organisers

Sponsorship

Scientific committee

  • Jacek Tabor
  • Igor Podolak
  • Marek Skomorowski
  • Michał Woźniak
  • Krzysztof Dembczyński
  • Jarek Szewczuk
  • Eyke Hüllermeier
  • Łukasz Dębowski

Organizing committee

  • Jacek Tabor
  • Igor Podolak
  • Marek Śmieja
  • Jarek Szewczuk
  • Stanisław Jastrzębski
  • Damian Leśniak
  • Krzysztof Misztal
  • Agnieszka Pocha
  • Igor Sieradzki
  • Przemysław Spurek
  • Łukasz Struski
  • Magdalena Wiercioch
  • Maciej Mikulski

Contact

Contact with organizing committee:

Magdalena Wiercioch
tfml@uj.edu.pl

During the conference you can also call: +48 519 307 979