Program – ALT/DS 2013
- Sunday 6th October 2013, 18:30: Reception
- Monday 7th October 2013, 09:00-10:30: Tutorial 1
(Chair: Lee Wee Sun)
Nader Bshouty: Exact Learning from Membership Queries - Some Techniques, Results and New Directions
- Monday 7th October 2013, 11:00-12:30: Tutorial 2
(Chair: Eyke Hüllermeir)
Krzysztof Dembczyński: Multi-Target Prediction
- Monday 7th October 2013, 12:30-13:45: Lunch
- Monday 7th October 2013, 13:45-14:45: Invited Talk 1
(Chair: Thomas Zeugmann)
Nir Ailon: Learning and Optimizing with Preferences
- Monday 7th October 2013, 15:15-16:55: ALT and DS Parallel Sessions, 4 Talks
ALT Talks Session 1 – Online Learning
(Chair: Nader Bshouty)
- 15:15-15:40: Vladimir V'yugin: Universal Algorithm for Trading in Stock Market Based on the Method of Calibration
- 15:40-16:05: Takahiro Fujita, Kohei Hatano and Eiji Takimoto: Combinatorial Online Prediction via Metarounding
- 16:05-16:30: Jara Uitto and Roger Wattenhofer: On Competitive Recommendations
- 16:30-16:55: Jiazhong Nie, Wojciech Kotłowski and Manfred Warmuth: On-line PCA with Optimal Regrets
DS Talks Session 1 – Graph and Hypergraph Structures
(Chair: Hendrik Blockeel)
- 15:15-15:40: Tomi Silander and Tze-Yun Leong:
A Dynamic Programming Algorithm for Learning Chain Event Graphs - 15:40-16:05: Kunihiro Wasa, Takeaki Uno, Kouichi Hirata and Hiroki Arimura:
Polynomial Delay and Space Discovery of Connected and Acyclic Sub-Hypergraphs in a Hypergraph - 16:05-16:30: Takahisa Toda:
Fast Compression of Large-scale Hypergraphs for Solving Combinatorial Problems - 16:30-16:55: Ye Xu, Dan Rockmore and Adam Kleinbaum:
Hyperlink Prediction in Hypernetworks Using Latent Social Features
- Monday 7th October 2013, 19:00: ALT DS Steering Committee Meeting
- Tuesday 8th October 2013, 09:00-10:00: Invited Talk 2
(Chair: Frank Stephan)
Eiji Takimoto: Efficient Algorithms for Combinatorial Online Prediction
- Tuesday 8th October 2013, 10:00-10:30: E. Mark Gold Talk
(Chair: Sanjay Jain)
Azadeh Khaleghi and Daniil Ryabko: Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series
- Tuesday 8th October 2013, 11:00-12:15: ALT and DS Parallel Sessions, 3 Talks
ALT Talks Session 2 – Teaching, Query and PAC Learning
(Chair: Timo Kötzing)
- 11:00-11:25: Malte Darnstädt, Thorsten Doliwa, Hans Ulrich Simon and Sandra Zilles: Order Compression Schemes
- 11:25-11:50: Jagadish M and Anindya Sen: Learning a Bounded-Degree Tree using Separator Queries
- 11:50-12:15: Chihiro Shibata and Ryo Yoshinaka: PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties
DS Talks Session 2 – Supervised and Weakly Supervised Learning
(Chair: Saso Dzeroski)
- 11:00-11:25: Claudio Rebelo De Sa, Carlos Soares, Arno Knobbe, Paulo Azevedo and Alipio Mario Jorge: Multi-Interval Discretization of Continuous Attributes for Label Ranking
- 11:25-11:50: Pan Hu, Celine Vens, Bart Verstrynge and Hendrik Blockeel: Generalizing from Example Clusters
- 11:50-12:15: Faiza Khan Khattak and Ansaf Salleb-Aouissi: Robust Crowd Labeling using Little Expertise
- Tuesday, 8th October 2013, 12:15-13:30: Lunch
- Tuesday, 8th October 2013, 13:30-15:10: ALT and DS Parallel Sessions,
4 Talks
ALT Talks Session 3 – Statistical Learning Theory
(Chair: Eiji Takimoto)
- 13:30-13:55: Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan and Claire Monteleoni: Differentially-Private Learning of Low Dimensional Manifolds
- 13:55-14:20: Nguyen Viet Cuong, Lam Si Tung Ho and Vu Dinh: Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data
- 14:20-14:45: Lee-Ad Gottlieb, Aryeh Kontorovich and Robert Krauthgamer: Adaptive Metric Dimensionality Reduction
- 14:45-15:10: Ata Kaban and Robert Durrant: Dimension-Adaptive Bounds on Compressive FLD Classification
DS Talks Session 3 – Learning with Tree Models and Hierarchies
(Chair: Bernhard Pfahringer)
- 13:30-13:55: Darko Aleksovski, Jus Kocijan and Saso Dzeroski:
Model Tree Ensembles for Modeling Dynamic Systems - 13:55-14:20: Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska and Saso Dzeroski:
Fast and Scalable Image Retrieval using Predictive Clustering Trees - 14:20-14:45: Daniela Stojanova, Michelangelo Ceci, Donato Malerba and Saso Dzeroski:
Learning Hierarchical Multi-label Classication Trees from Network Data - 14:45-15:10: Prem Raj Adhikari and Jaakko Hollmen:
Mixture Models from Multiresolution 0-1 data
- Tuesday 8th October 2013, 15:40-16:55: ALT and DS Parallel Sessions,
3 Talks
ALT Talks Session 4 – Bayesian and Stochastic Learning
(Chair: Daniil Ryabko)
- 15:40-16:05: Pierre Alquier Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study
- 16:05-16:30: Tor Lattimore, Marcus Hutter and Peter Sunehag: Concentration and Confidence for Discrete Bayesian Sequence Predictors
- 16:30-16:55: Aaditya Ramdas and Aarti Singh: Active Learning and Stochastic Convex Optimization
DS Talks Session 4 – Learning and Discovery from Data Streams
(Chair: Philippe Lenca)
- 15:40-16:05: Joao Gama, Petr Kosina and Ezilda Almeida:
Avoiding Anomalies in Data Stream Learning - 16:05-16:30: Dino Ienco, Albert Bifet, Indre Zlioblaite and Bernhard Pfahringer:
Clustering Based Active Learning for Evolving Data Stream - 16:30-16:55: Max Zimmermann, Eirini Ntoutsi and Myra Spiliopoulou:
Extracting Opinionated Sub-Features from a Stream of Product Reviews
- Tuesday 8th October 2013, 17:40:
Mount Faber
(Faber Point) Walk-Up from
Harbourfront MRT Station
Exit D
- Tuesday 8th October 2013, 18:30-22:30: Banquet,
Jewel Box Restaurant in
Mount Faber Cable Car Station (near Peak)
- Wednesday 9th October 2013, 09:00-10:00: Invited Talk 3
(Chair: Johannes Fürnkranz)
Hannu (T.T.) Toivonen: Creative Computers and Data Mining
- Wednesday 9th October 2013, 10:00-10:30: Carl H. Smith Talk
(Chair: Akihiro Yamamoto)
Eirini Spyropoulou, Tijl De Bie and Mario Boley:
Mining Interesting Patterns in Multi-Relational Data with N-ary Relationships
- Wednesday 9th October 2013, 11:00-12:15: ALT and DS Parallel Sessions,
3 Talks
ALT Talks Session 5 – Inductive Inference
(Chair: Ryo Yoshinaka)
- 11:00-11:25: Ziyuan Gao, Frank Stephan and Sandra Zilles: Partial Learning of Recursively Enumerable Languages
- 11:25-11:50: John Case and Timo Kötzing: Topological Separations in Inductive Inference
- 11:50-12:15: Marcus Hutter, Laurent Orseau and Tor Lattimore: Universal Knowledge-Seeking Agents for Stochastic Environments
DS Talks Session 5 – Data Mining and Event Detection
(Chair: João Gama)
- 11:00-11:25: Matic Perovsek, Anze Vavpetic, Bojan Cestnik and Nada Lavrac:
A Wordification Approach to Relational Data Mining - 11:25-11:50: Eniko Szekely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire and Renaud Cezar:
A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications - 11:50-12:15: Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda:
Identifying Super-Mediators of Information Diffusion in Social Networks
- Wednesday 9th October 2013, 12:15-14:20: Lunch and Business Meeting
- Wednesday 9th October 2013, 14:20-14:50: ALT and DS Parallel Sessions,
2 Talks
ALT Talks Session 6 – Semisupervised and Unsupervised Learning
(Chair: John Case)
- 14:20-14:45: Daniil Ryabko: Unsupervised Model-Free Representation Learning
- 14:45-15:10: Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan and Claire Monteleoni: Fast Spectral Clustering via the Nyström Method
DS Talks Session 6 – Scientific Discovery
(Chair: Krzysztof Dembczyński)
- 14:20-14:45: Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis and Saso Dzeroski:
Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis - 14:45-15:10: Wilfried Segretier and Martine Collard: SM2D:
A modular knowledge discovery approach applied to hydrological forecasting
- Wednesday 9th October 2013, 15:40-16:55: ALT and DS Parallel Sessions,
3 (4) Talks
ALT Talks Session 7 – Bandit Theory
(Chair: Kohei Hatano)
- 15:40-16:05: Po-Ling Loh and Sebastian Nowozin: Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates
- 16:05-16:30: Odalric-Ambrym Maillard: Robust Risk-Averse Stochastic Multi-Armed Bandits
- 16:30-16:55: Gergely Neu and Gábor Bartók: An Efficient Algorithm for Learning with Semi-Bandit Feedback
DS Talks Session 7 – Knowledge Discovery and Pattern Mining
(Chair: Hannu Toivonen)
- 15:40-16:05: Tetsushi Matsui, Takeaki Uno, Juzoh Umemori and Tsuyoshi Koide:
A New Approach to String Pattern Mining with Approximate Match - 16:05-16:30: Anze Vavpetic, Petra Kralj Novak, Miha Grcar, Igor Mozetic and Nada Lavrac:
Semantic Data Mining of Financial News Articles - 16:30-16:55: Pance Panov, Larisa Soldatova and Saso Dzeroski:
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process
Last update September 21, 2013