Conference

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications
5–8 October 2015, Berlin, Germany

The conference is organised by the Yandex School of Data Analysis and Yandex, sponsored by Yandex Data Factory. Royal Holloway, University of London is the academical partner of the conference.

This is the second conference on machine learning organised by the Yandex School of Data Analysis and this year it will explore the new frontiers and advances in machine learning – its theory, technology, and applications. With scientists and engineers coming from 14 countries, in addition to talks, discussions and poster sessions, this year’s conference will feature a business event aimed at facilitating cooperation between academics and practitioners. The first conference on machine learning organised by the Yandex School of Data Analysis, which took place in Moscow in 2013, focused on the latest developments in big data.

Over the past few years, deep learning has been gaining popularity among software developers for the extraordinary experimental results it has demonstrated. More importantly, using this approach enabled developers to create simple tools for solving practical problems across multiple industries. A number of speakers at this conference will talk about this approach in their work. At the same time, Vladimir Vapnik, one of the main developers of Vapnik–Chervonenkis theory, the father of statistical learning theory, and the co-inventor of the Support Vector Machine method, over the course of the past two years, has had tremendous theoretical progress in his breakthrough theory of machine learning, which he called Intelligent Learning. This novel approach will be presented in detail at the conference by the author and his colleagues. This conference offers a unique opportunity for everyone in attendance to witness first-hand how these two alternative approaches compare and contrast. During a specially organised discussion, we are hoping to open new advantages of both of these approaches and see the power of synergy stemming from their interrelations. Beside looking at the exciting prospects promised by deep learning and Vapnik’s Intelligent learning, the conference will explore traditional application areas for machine learning, such as computer vision or natural language processing, alongside some relatively recent ones, such as causality modeling. As significant progress has been made in both old and new areas of application for machine learning, some of the most important cases will be presented at this conference.

The main topics

  • Deep Learning
  • Intelligent Learning
  • Discovery of Causality
  • Abstract Convexity
  • Sub-Linear Methods in Data Analysis
  • Quantum Calculation in Machine Learning
  • Text Analysis and Understanding
  • Video, Image and Signal Analysis
  • Application in Physics, Biology, Medicine and Finance
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Program

October 5
Begin
October 5
Registration
8:30 – 8:40
Welcome & Keynote Address
Prof. Elena Bunina
Russia, Yandex, Yandex School of Data Analysis and Moscow State University
Prof. Ilya Muchnik
USA, Rutgers University (NJ), and Russia, Yandex School of Data Analysis
Session I
Chair Sc.D. Anatoli Michalski, RussiaV. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
Deep Learning
8:40 – 9:20
Image Annotation – The Marriage of Computer Vision and NLP Using Deep Learning
Prof. Lior Wolf
Israel, Blavatnik School of Computer Science at Tel Aviv University
9:20 – 10:00
Deep Generative and Discriminative Models for Speech Recognition
Dr. Li Deng
USA, Microsoft Research
10:00 – 10:15
Break
10:15 – 10:55
Deep-er Kernels
Prof. John Shawe-Taylor
UK, Centre for Computation Statistics and Machine Learning at University College London
10:55 – 11:35
Deep Learning Applications in the Natural Sciences
Deep Learning Applications in the Natural Sciences
USA, Department of Computer Science, Center for Machine Learning and Intelligent Systems, and Institute for Genomics and Bioinformatics at University of California, Irvine
11:35 – 11:50
Break
Sublinearity
11:50 – 12:10
Sublinear-time Approximation Algorithms
Prof. Artur Czumaj
UK, Centre for Discrete Mathematics and its Applications (DIMAP), University of Warwick
Generalizations
12:10 – 12:30
Data Properties Estimation as Statistical Inverse Problem
Sc.D. Anatoli Michalski
Russia, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
12:30 – 12:50
Feature Selection by Conditional Distribution Contrasting
Dr. Varvara Tsurko
Russia, V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow
12:50 – 13:40
Lunch
Session II
Chair Arkady Borkovsky, USAYandex
Causality
13:40 – 14:00
Approximation of Causal Dependences by Structural Regression Equations
Vyacheslav Teterin
Russia, The Computer Training Center «Specialist», Yandex School of Data Analysis
14:00 – 14:40
Toward Causal Machine Learning
Prof. Bernhard Schölkopf
Germany, Max Planck Institute for Intelligent Systems
Quantum Learning
14:40 – 15:00
Inferring Causal Structure from Statistical Dependences among n Variables — Differences between Classical and Quantum Communication Scenarios
Dr. Dominik Janzing
Germany, Max Planck Institute for Intelligent Systems
15:00 – 15:15
Break
15:15 – 15:35
What Can We Expect from Quantum Machine Learning?
Dr. Peter Wittek
Spain, ICFO-The Institute of Photonic Sciences, Barcelona
Submodularity and Learning
15:35 – 16:15
Learning with Submodular Functions: A Convex Optimization Perspective
Prof. Francis Bach
France, Ecole Normale Supérieure de Paris
16:15 – 16:35
Summarizing Massive Data Sets via Large-Scale Submodular Maximization
Prof. Andreas Krause
Switzerland, ETH Zürich
16:35 – 16:40
Flash Presentation with slides for the Poster: Minimizing Submodular Discrete Energies by Integer Re-parameterizations
Dr. Tomas Werner
Czech Republic, Czech Technical University
Prof. Michail Schlesinger
Ukraine, International Research and Training Centre of Information Technologies and Systems, National Academy of Science of Ukraine, Cybernetica Centre
16:40 – 16:50
Break
Clustering and Sparsity
16:50 – 17:10
K-means and Anomalous Clustering
Prof. Boris Mirkin
Russia, National Research University Higher School of Economics in Moscow, UK, Birkbeck University of London
17:10 – 17:30
Distributed Coordinate Descent for Regularized Logistic Regression
Ilya Trofimov
Russia, Yandex Data Factory
17:30 – 17:35
Flash Presentation with slides for the Poster: Efficient Elastic Net Regularization for Sparse Linear Models in the Multilabel Setting
Zachary Chase Lipton
ML scientist, Amazon, University of California, San Diego, USA
17:35 – 17:55
Large-Scale Learning
Dr. Mikhail Bilenko
USA, Microsoft
17:55 – 18:05
Break
18:05 – 20:35
Discussion "Deep Learning". Moderator Dr. Li Deng (expected participants: Pierre Baldi, John Shawe-Taylor, Nathan Intrator, Alexandre Klementiev, Dmitrij Schlesinger and others)
October 6
Session III
Chair Dr. Andrey Ustyuzhanin, RussiaYandex, Yandex School of Data Analysis
Particular Problems
9:00 – 9:20
Zero-Shot Learning
Dr. Timothy Hospedales
UK, School of Electronic Engineering & Computer Science, Queen Mary University of London
9:20 – 9:40
A Potential Surface Underlying Meaning?
Prof. Sándor Darányi
Sweden, Högskolan i Borås, Swedish School of Library and Information Science
9:40 – 10:20
Can Machine Learning replace Signal Processing?
Prof. Nathan Intrator
Israel, Blavatnik School of Computer Science, Sagol School of Neuroscience
10:20 – 10:35
Break
Generalizations and Physics
10:35 – 10:55
Relationship Graph Filtering Drawing on the Example of the Site Hierarchy Extraction
Boris Belyaev
Russia, Yandex
10:55 – 11:00
Flash Presentation with slides for the Poster: Modified Naive Bayes with Hurst Exponent as Quantitative Measure of Data Mutual Dependence
Gleb Turkanov
Russia, Russian Academy of Sciences, Moscow Institute of Physics and Technology
11:00 – 11:05
Flash Presentation with slides for the Poster: Yandex + CERN: Three Years of Collaboration of Data Science with Particle Physics
Dr. Andrey Ustyuzhanin
Yandex, Yandex School of Data Analysis
11:05 – 11:10
Flash Presentation with slides for the Poster: Machine Learning and Optimization of LHC Real-Time Event Stream Filter for New Physics Discoveries
Tatiana Likhomanenko
Russia, National Research University Higher School of Economics, Yandex Data Factory
Dr. Andrey Ustyuzhanin
Russia, Yandex, Yandex School of Data Analysis
Applications
11:10 – 11:15
Flash Presentation with slides for the Poster: The Use of Random Forest to Improve Molecular Docking Tools for Drug Design
Dr. Pedro J. Ballester
France, Cancer Research Centre of Marseille
11:15 – 11:20
Flash Presentation with slides for the Poster: Bank Failure Prediction Using Hybrid Classifier Ensembles of Random Sub-Spaces and Bagging
Assoc. Prof. Halil İbrahim Erdal, Dr. Aykut Ekinci
Turkey, Turkish Cooperation and Coordination Agency, F. A. Hayek Visiting Scholar, George Mason University
11:20 – 11:25
Flash Presentation with slides for the Poster: Trading the FTSE100 Index – 'Adaptive' Modeling and Optimisation Techniques
Dr. Andreas Karathanasopoulos
Associate Professor: American University of Beirut
11:25 – 11:30
Flash Presentation with slides for the Poster: Kernel-based Machine Learning from Multiple Information Sources: Learning Theory, Algorithms, and Applications in Visual Image Recognition and Computational Biology
Prof. Marius Kloft
Germany, Humboldt University of Berlin Department of Computer Science
11:30 – 11:35
Flash Presentation with slides for the Poster: Bots Filtering in Crowd-Sourcing
Dr. Andrey Mishchenko
Russia, Yandex
11:35 – 11:40
Flash Presentation with slides for the Poster: Yandex Recommender System
Dr. Michael Roizner
Russia, Yandex
11:40 – 11:45
Flash Presentation with slides for the Poster: Internet Search Trends Extraction: Using Topic Modeling Ideas for Clustering User Queries
Denis Elshin, Daria Gubar
Russia, Yandex
11:45 – 11:50
Flash Presentation with slides for the Poster: Expansion of Video Categories Through Link and Users Graphs
Boris Okun
Russia, Yandex
11:50 – 11:55
Flash Presentation with slides for the Poster: Deep Neural Networks for Fast Object Detection
Anton Slesarev
Russia, Yandex
11:55 – 12:10
Break
12:10 – 12:30
MatrixNet Applications at Yandex
Michael Levin
Russia, Yandex Data Factory, Yandex
A New View on Fundamental Problems
12:30 – 12:50
Implicit Modeling — A Generalization of Discriminative and Generative Approaches
Dr. Dmitrij Schlesinger
Germany, Dresden University of Technology
12:50 – 13:10
Online Learning or Don’t Look Ahead
Andrey Gulin
Russia, Yandex
13:10 – 14:00
Lunch
Session IV
Chair Prof. Alexander Gammerman, UKRoyal Holloway, University of London
14:00 – 15:20
Intelligent Learning: Similarity Control and Knowledge Transfer
Prof. Vladimir Vapnik
USA, Columbia University, Facebook
15:20 – 15:35
Break
15:35 – 19:00
Social program
19:00
Banquet
October 7
Session V
Chair Dr. Evgeny Burnaev, RussiaInstitute for Information Transmission Problems of Russian Academy of Sciences
Machine Learning Foundations
9:00 – 9:40
Large-Scale Probabilistic Prediction With and Without Validity Guarantees
Prof. Vladimir Vovk
UK, Royal Holloway, University of London
9:40 – 10:20
Minimax Deviation Strategies for Machine Learning and Recognition with Short Learning Samples
Prof. Michail Schlesinger, Evgeniy Vodolazskiy
Ukraine, International Research and Training Centre of Information Technologies and Systems, National Academy of Science of Ukraine, Cybernetica Centre
10:20 – 10:35
Break
10:35 – 10:40
Flash Presentation with slides for the Poster: Global and Local Complexity Measures for Transductive Learning
Ilya Tolstikhin
Germany, Max Planck Institute for Intelligent Systems, Department of Empirical Inference
10:40 – 10:45
Flash Presentation with slides for the Poster: Explaining Predictions of Arbitrary Model with Feature Contributions
Prof. Igor Kononenko
Slovenia, Laboratory for Cognitive Modeling University of Ljubljana
10:45 – 11:05
Multidimensional Conditional Probability Estimation Using the V-Matrix Method
Dr. Rauf Izmailov
USA, Vencore Labs
Prof. Vladimir Vapnik
USA, Columbia University, Facebook
Combinatorics
11:05 – 11:25
Is It Really NP-Hard to Survive in Big-Data?
Prof. Vadim E. Levit
Israel, Department of Computer Science and Mathematics, Ariel University
11:25 – 11:45
Committee Polyhedral Separability: Complexity and Polynomial Approximation
Prof. Michael Khachay
Russia, Krasovsky Institute of Mathematics and Mechanics, Ural Federal University, Ekaterinburg
Text Analysis and Understanding
11:45 – 11:50
Flash Presentation with slides for the Poster: Functional Analysis of F0 Contours for Recognition of Paralinguistics from Speech
Dmytro Prylipko
Germany, Yandex
11:50 – 11:55
Flash Presentation with slides for the Poster: Faster Recurrent Neural Network Language Modeling Toolkit with Logarithmic and Sub-logarithmic Cost Function Approximation Algorithms
Anton Bakhtin
Russia, Yandex
11:55 – 12:00
lash Presentation with slides for the Poster: Linguistic Regularization of Topic Models
Anna Potapenko
Russia, Yandex School of Data Analysys
Prof. Konstantin Vorontsov
Russia, Yandex
12:00 – 12:15
Break
12:15 – 12:55
Thinking on your Feet: Reinforcement Learning for Incremental Language Tasks
Prof. Jordan Boyd-Graber
USA, University of Colorado
12:55 – 13:15
Inducing Crosslingual Distributed Representations of Words
Dr. Alexandre Klementiev
Germany, Amazon
13:15 – 14:05
Lunch
Session VI
Chair Dr. Uri Degen, IsraеlTSG IT Advanced Systems Ltd.
14:05 – 14:45
Additive Regularization of Topic Models: Towards Exploratory Search and Other Multi-Criteria Applications
Prof. Konstantin Vorontsov
Russia, Yandex
Applications
14:45 – 15:25
Detecting of hidden patterns in air/maritime/human situation picture
Dr. Uri Degen, Dr. Leonid Shvartser, Prof. Igor Korotayev, Dr. Rima Gandlin, Alexander Knafel
Israеl, TSG IT Advanced Systems Ltd.
15:25 – 15:45
Identification of Activity Patterns in Communication Data without Content
Dr. Uri Degen, Dr. Leonid Shvartser, Shmuel Teppler
Israеl, TSG IT Advanced Systems Ltd.
15:45 – 16:25
Reliable Diagnostics by Conformal Predictors
Prof. Alexander Gammerman
UK, Royal Holloway, University of London
16:25 – 16:40
Break
16:40 – 17:00
Dynamic Style Analysis of Hedge Funds and Kalman Smoother
Dr. Leonid Shvartser
Israеl, TSG Advanced Systems Ltd
Michael Markov
USA, MPI International Inc
Dr. Olga Krasotkina
Russia, Moscow State University
Prof. Vadim Mottl'
Russia, Computing Center of the Russian Academy of Sciences
17:00 – 17:05
Flash Presentation with slides for the Poster: The Machine Learning Techniques in Seismic Data Processing and Interpretation Problems
Maxim Ryabinskiy, Dr. Dmitriy Finikov
Russia, Yandex.Terra
17:05 – 17:25
Sparse Regression and Data Preparation for Machine Learning in Seismic Data Processing
Maxim Ryabinskiy, Dr. Dmitriy Finikov, Dr. Nikita Zelinsky
Russia, Yandex.Terra
17:25 – 17:30
Flash Presentation with slides for the Poster: Deep Learning for Image Retrieval
Artem Babenko
Russia, Yandex
17:30 – 17:35
Flash Presentation with slides for the Poster: Query Model for Image Search based on User Clicks and NN Features
Dmitry Krivokon, Alexey Gorodilov
Russia, Yandex
Current Methodological Progress
17:35 – 17:40
Flash Presentation with slides for the Poster: Conformalized Kernel Ridge Regression and Its Efficiency
Dr. Evgeny Burnaev
Russia, Institute for Information Transmission Problems of Russian Academy of Sciences
Prof. Vladimir Vovk
UK, Royal Holloway, University of London
17:40 – 17:45
Flash Presentation with slides for the Poster: Locally Isometric and Conformal Low-dimensional Data Representation in Data Analysis
Prof. Alex Bernshtein, A.P. Kuleshov, Yu.A. Yanovich
Russia, National Research University Higher School of Economics
17:45 – 17:50
Flash Presentation with slides for the Poster: Tensor perspective of deep neural networks
Prof. Dmitry Vetrov
National Research University Higher School of Economics, Yandex School of Data Analysis, Skoltech
Alexander Novikov, Dmitry Podoprikhin
Skoltech
Anton Osokin
INRIA - SIERRA project-team
17:50 – 18:00
Break
18:00 – 20:00
Discussion "What Learning Problem is About: Brute Force and Intelligent Paradigms of Learning".
Moderator: Vladimir Vapnik
(expected participants: Konstantin Vorontsov, Anatoli Michalski, Vladimir Vovk, Bernhard Schölkopf, Varvara Tsurko, Andrey Ustyuzhanin and others).
20:00 – 20:30
Closing Remarks
Arkady Volozh
Russia, Yandex
Prof. Elena Bunina
Russia, Yandex, Yandex School of Data Analysis and Moscow State University
October 8
9:00 – 15:00
Business session «Machine Learning and Big Data: Business Challenges»
15:00
Conference closes. Networking

Key speakers

Francis Bach, France
Pierre Baldi, USA
Li Deng, USA
Alexander Gammerman, UK
Nathan Intrator, Israel
Vadim Levit, Israel
Bernhard Schölkopf, Germany
Vladimir Vapnik, USA
Vladimir Vovk, UK
Lior Wolf, Israel

Program Committee

Maxim Babenko
Jordan Boyd-Graber
Elena Bunina
Alexander Gammerman
Boris Mirkin
Ilya Muchnik
Andrey Raigorodsky
Konstantin Rudakov
Bernhard Schölkopf
Evgeny Shchepin
Albert Shiryaev
Konstantin Vorontsov

Organising Committee

Elena Bunina
Stanislav Fedotov
Evgenia Kulikova
Nataliya Makarova
Ilya Muchnik
Elena Shiryaeva
Arkady Volozh