DataMin seminars
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2013
17.12.2013
Wednesday
Adaptive Step–Size for Policy Gradient Methods
Presenter: Botond Bocsi;
Links:
  • Matteo Pirotta, Marcello Restelli, Luca Bascetta, Neural Information Processing Systems, 2013. local PDF.

13:30, Math207

11.12.2013
Wednesday
Incremental slow feature analysis
Presenter:Hunor Jakab;
Links:
  • Varun Raj Kompella, Matthew Luciw, and Jurgen Schmidhuber, Incremental slow feature analysis, 2011, IDSIA vol. two, pp. 1354-1359. local PDF.

13:00, Math207

27.11.2013
Wednesday
Semi-Supervised Hashing for Large Scale Search
Presenter: Zalán Bodó
Links:
  • Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Semi-Supervised Hashing for Large Scale Search, 2012, vol. 34, no. 12, pp. 2393-2406. local PDF.

13:00, Math207

20.11.2013
Wednesday
Candid covariance-free incremental PCA
Presenter: Hunor Jakab
Links:
  • Juyang Weng, Yilu Zhang, Wey-Shiuan Hwang (2003). IEEE Tr. PAMI, 25/8, 1034-1040. PDF.

14:00, Math207

13.11.2013
Wednesday
Geometry and Invariance in Kernel Based Methods (Part II)
Presenter: Zalan Bodo
Links:
  • Christopher Burges (1998). Advances in Kernel Methods: Support Vector Learning, MIT Press. PS, PDF .

14:00, Math207

06.11.2013
Wednesday
Geometry and Invariance in Kernel Based Methods (Part I)
Presenter: Zalan Bodo
Links:
  • Christopher Burges (1998). Advances in Kernel Methods: Support Vector Learning, MIT Press. PS, PDF .

14:00, Math207

25.10.2013
Friday
Transfer Learning Survey
Presenter: Lehel Csató
Links:
  • Pan S.J, Yang Q (2010) A Survey on Transfer Learning, IEEE. Tr. on Knowledge and Data Engineering, 22/10 PDF.

14:00, Math207

18.10.2013
Friday
Shortest-path kernels on graphs
Presenter: Botond Bocsi
Links:
  • Karsten M. Borgwardt and Hans-Peter Kriegel , ICDM , 2005 PDF.

14:00, Math207

10.10.2013
Friday
A Generalized Path Integral Control Approach to Reinforcement Learning
Presenter: Hunor Jakab
Links:
  • Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal: A Generalized Path Integral Control Approach to Reinforcement Learning, JMLR vol. 11 , 2010 PDF.

14:00, Math207

04.10.2013
Friday
Variational Foundations of Online Backpropagation
Presenter: Lehel Csató
Links:
  • Frandina, Salvatore and Gori, Marco and Lippi, Marco and Maggini, Marco and Melacci, Stefano., Variational Foundations of Online Backpropagation, 2013, ICANN. PDF.

14:00, Math207

30.06.2013
Wednesday
On positive definite kernels II
Presenter: Lehel Csató
Links:
  • Marco Cuturi: Positive definite kernels in machine learning (TR) PDF.

14:00, Math207

24.06.2013
Wednesday
On positive definite kernels I
Presenter: Lehel Csató
Links:
  • Marco Cuturi: Positive definite kernels in machine learning (TR) PDF.

14:00, Math207

17.05.2013
Friday
OptiML: Implicit Parallelisation
Presenter: Lehel Csató
Links:
  • Sujeeth A.K, Lee H, Brown K.J, Chafi H, Wu M, Atreya A.R, Olukotun K, Rompf T, Odersky M (ICML'11) OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning. PDF.

15:00, Math207

10.05.2013
Friday
Boosting into social data
Presenter: Lehel Csató
Links:
  • Faddoul J-B, Chidlovskii B, Torre F, Gilleron R (ICMLA 2010) Boosting Multi-Task Weak Learners with Applications to Textual and Social Data. PDF.

15:00, Math207

03.05.2013
Friday
Variational Bayesian Inference (position paper)
Presenter: Lehel Csató
Links:
  • Seeger M.W, Wipf D.P (2011) Variational Bayesian Inference Techniques. IEEE Signal Processing Magazine (ISSN: 1053-5888), vol. 27/6, pp. 81-91. PDF.

15:00, Math207

19.04.2013
Friday
Selecting Observations against Adversarial Objectives
Presenter: Hunor Jakab
Links:
  • Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta: Selecting Observations against Adversarial Objectives (NIPS 2007). PDF.

15:00, Math207

12.04.2013
Friday
Lazy Gaussian processes
Presenter: Botond Bócsi
Links:
  • Xiao H (2013) Lazy Gaussian Process Committee for Real-Time Online Regression (accepted for AAAI 2013). PDF.

15:00, Math207

29.03.2013
Friday
Robot trajectory approximation - II
Presenter: Botond Bócsi
Links:
  • Ulbrich S, Bechtel M, Asfour T, Dillman R (2012) Learning Robot Dynamics with Kinematic Bèzier Maps, in IROS 2012 - Int. Conf. on Intelliget Robots and Systems, pp 3598-3604. PDF.

15:00, Math207

22.02.2013
Friday
Robot trajectory approximation - I
Presenter: Lehel Csató
Links:
  • Ulbrich S, Ruiz V, Asfour T, Torras C, Dillmann R (2012) Kinematic Bèzier Maps, in IEEE Transactions on Systems, Man, and Cybernetics, volume 42, 2012. pp 1215-1230. PDF.

15:00, Math207

15.02.2013
Friday
Active Learning Selection Criteria - II
Presenter: Botond Bócsi
Links:
  • Seung H.S, Opper M, Sompolinsky H (1992) Query by committee. In Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, pp. 287-294. PDF.

15:00, Math207

08.02.2013
Friday
Active Learning Selection Criteria - I
Presenter: Hunor Jakab
Links:
  • David J.C. MacKay (1992) Information-Based Objective Functions for Active Data Selection, Neural Computation, vol 4, pp. 590-604, PDF.

15:00, Math207

01.02.2013
Friday
Gradient Weights help Nonparametric Regressors
Presenter: Botond Bócsi
Links:
  • Samory Kpotufe, Abdeslam Boularias (2012, NIPS) Gradient Weights help Nonparametric Regressors. PDF.

15:00, Math207