Myself

Borja de Balle Pigem

News: This year I am proud to be Area Chair for NIPS 2014. I am also co-organizing the Workshop on Method of Moments and Spectral Learning at ICML 2014.

I am currently a post-doctoral fellow in the Reasoning and Learning Laboratory at McGill University under the supervision of Prakash Panangaden, Joelle Pineau, and Doina Precup. I recently co-organized two workshops on Spectral Learning at NIPS 2013 and ICML 2013. I am also a member of the Program Commitee for ICGI 2014.

I obtained my PhD in 2013 from UPC after working in the LARCA research group under the supervision of Jorge Castro and Ricard Gavaldà. During my PhD I spent several months visiting Mehryar Mohri at the Courant Institute (NYU).

Before this, I got a MsC in Mathematics from the FME and wrote a master's thesis on Combinatorial Group Theory advised by Enric Ventura. During my undergrad years I studied Telecommunication Engineering and Mathematics at CFIS and did a final year project on Linear Feedback Shift Registers directed by Josep M. Fuertes and Enric Ventura, for which I won an award from the SCT.

Address

McGill University
McConnell Engineering Building, Room 104N
3480 University st., Montreal, QC, H3A2A7, Canada

Email

bballe /at/ cs /dot/ mcgill /dot/ ca

Machine Learning, Computational Learning Theory, and Analysis of Algorithms are my main interests.

My current research is on efficient and provably correct algorithms for learning Finite State Machines.

I strive for algorithms that can help solve real-world problems in Natural Language Processing and other fields.

Papers available here may be subject to copyright and are intended for personal, non-commercial use only.

B. Balle, J. Castro, and R. Gavaldà
Learning Probabilistic Automata: A Study In State Distinguishability
Theoretical Computer Science, 473:46-60, 2013  (DOI)

B. Balle and M. Mohri
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Neural Information Processing Systems (NIPS), 2012
(Honorable Mention for the Outstanding Student Paper Award)

B. Balle, J. Castro, and R. Gavaldà
Bootstrapping and Learning PDFA in Data Streams
International Colloquium on Grammatical Inference (ICGI), 2012
(Best Student Paper Award)

B. Balle, A. Quattoni, and X. Carreras
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
International Conference on Machine Learning (ICML), 2012

F. M. Luque, A. Quattoni, B. Balle, and X. Carreras
Spectral Learning for Non-Deterministic Dependency Parsing
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2012
(Best Paper Award)

B. Balle, A. Quattoni, and X. Carreras
A Spectral Learning Algorithm for Finite State Transducers
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2011

B. Balle, J. Castro, and R. Gavaldà
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
International Conference on Algorithmic Learning Theory (ALT), 2010

B. Balle
Implementing Kearns-Vazirani Algorithm for Learning DFA Only with Membership Queries
Zulu Workshop, 2010
(The algorithm described in this paper finished in 2nd place in the Zulu Competition)

B. Balle, J. Castro, and R. Gavaldà
Learning PDFA with Asynchronous Transitions
International Colloquium on Grammatical Inference (ICGI), 2010

B. Balle, E. Ventura, and J.M. Fuertes
An Algorithm to Design Prescribed Length Codes for Single-Tracked Shaft Encoders
IEEE International Conference on Mechatronics (ICM), 2009

J.M. Fuertes, B. Balle, and E. Ventura
Absolute-Type Shaft Encoding Using LFSR Sequences With a Prescribed Length
IEEE Transactions on Instrumentation and Measurement, Vol. 57, No. 5, 2008

Spectral Methods for Learning Finite State Machines   —   McGill University, September 2012

Recuperació de la Informació   —   FIB, Primavera 2011

Teoria de la Computació   —   FIB, Maig 2011

Entropi Fylms (at Facebook, at Vimeo)   —   Ràdio 90

Aiki O Kami   —   Bond Street Dojo   —   Ritzu Zen Garrotxa   —   McGill Aikido

Obskené