Alexandre Passos's Research Homepage
Bio
PhD in Computer Science from the Institute of Computing (Unicamp) in Brazil with Professor Jacques Wainer, currently a grad student in UMass Amherst, in the Information Extraction and Synthesis Laboratory (IESL) with Professor Andrew McCallum.
My main area of interest, and research, is the intersection between machine learning and natural language processing.
My curriculum vitae is here: CV
Contact
Email me at alexandre.tp@gmail.com or tachard@ic.unicamp.br, whichever you prefer, they arrive at the same inbox. I have a a research blog (in english), at http://atpassos.me. I'm alextp on github. My phone number is 1 413-314-8109.
Fiz um mini-site pra ajudar com as contas de fim de mês, QuantoGasto.info.
Courses
Publications, projects, and works-in-progress
Published:- Alexandre Passos, Luke Vilnis, Andrew McCallum. Optimization and learning in factorie. NIPS 2013 Workshop on Optimization for Machine Learning. pdf
- Alexandre Passos. Combinatorial algorithms and linear programming for inference in natural language processing.. PhD Thesis. pdf
- David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum. MAP Inference in Chains using Column Generation. NIPS 2012. pdf code. Winner of the 2nd best spotlight presentation award at the NYC Machine Learning Symposium 2012.
- Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daume III.Flexible Modeling of Latent Task Structures in Multitask Learning. ICML 2012. pdf supplementary material
- Alexandre Passos, Hanna Wallach, Andrew McCallum.Correlations and anticorrelations in LDA inference. NIPS 2011 Workshop on Challenges in Learning Hierarchical Models: Transfer Learning and Optimization. pdf
- Alexandre Passos, Jurgen Van Gael, Ralf Herbrich, Ulrich Paquet.A penny for your thoughts? The value of information in recommendation systems. NIPS 2011 Workshop on Bayesian Optimization, Experimental Design, and Bandits. pdf
- Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay; Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Open Source Software Track. link
- Alexandre Passos, Jacques Wainer, Aria Haghighi, What do you know? A topic-model approach to authority identification. NIPS 2010 Workshop on Computational Social Science and the Wisdom of the Crowds. pdf.
- Alexandre Passos, Jacques Wainer, Wordnet-based metrics do not seem to help document clustering, Proceedings of the of the II Workshop on Web and Text Intelligente, São Carlos, Brazil. pdf and presentation.
- Alexandre Passos, George Lima, On the Use of Hard and Soft Reservation Schemes in Constant Bandwidth Servers, Proc. 11th Brazilian Workshop on Real-Time and Embedded Systems (WTR 2009). Porto Alegre - RS : Sociedade Brasileira de Computação, 2009. p. 105-116.pdf
- Pedro Kröger, Alexandre Passos, Marcos Sampaio, and Givaldo de Cidra. Rameau: A system for automatic harmonic analysis.In Proceedings of the 2008 International Computer Music Conference, pages 273-281, 2008. Também tem as apresentações do Rameau noicmc e no SEMPPG 2008.
- Pedro Kröger, Alexandre Passos, Marcos Sampaio, Givaldo de Cidra, Nathanael de Souza Ourives, Emerson Soares dos Anjos, and Wallace Silva dos Santos. Musicologia computacional aplicada à análise dos corais de bach. In Anais do XVIII Congresso da ANPPOM, 2008.
- Alexandre Passos, Marcos Sampaio, Pedro Kröger, Givaldo de Cidra.Functional harmonic analysis and computational musicology in Rameau, 2009, Recife. Anais do 12º Simpósio Brasileiro de Computação Musical, 2009. p. 207-210.pdf
Unpublished:
- My undergrad thesis, Modelos de Markov ocultos para análise harmônica funcional de música tonal pdf presentation
With Caio Tiago Oliveira and Ítalo Valcy I wrote a Ruby Turing Machine simulator called rturing.