Search: smola - Matches: 28


Lectures

country_flag Discussion of Alex Smola's talk: Remarks on parallelised MCMC
Yee Whye Teh, 2011   (388 views)
@ Bayesian Nonparametric Methods: Hope or Hype?

  • Discussion of Alex Smola's talk: Remarks on parallelised MCMC
  • -- Discussion of Alex Smola’s Talk: Remarks on parallelised MCMC

country_flag Introduction to kernel methods
Bernhard Schölkopf, 2007   (8302 views)
@ Machine Learning Summer School (MLSS), Tübingen 2007

  • This lecture given by Mr. Bernhard Schölkop is combined with Mr. Smola and will encompass Part 2
  • --  [[mlss07_smola_intkmet|//Alex Smola's// "%title"]]

country_flag Introduction to kernel methods
Alexander J. Smola, 2007   (6482 views)
@ Machine Learning Summer School (MLSS), Tübingen 2007

  • This lecture given by Mr. Smola is combined with Mr. Bernhard Schoelkopf and will encopass Part 1
  • -- Alexander J. Smola

country_flag Using features of probability distributions to achieve covariate shift
Alexander J. Smola, 2006   (293 views)
@ NIPS Workshop on Learning when Test and Training Inputs Have Different Distributions, Whistler 2006

  • Alexander J. Smola

country_flag From collaborative filtering to multitask learning
Alexander J. Smola, 2010   (411 views)
@ 27th International Conference on Machine Learning (ICML), Haifa 2010

  • Alexander J. Smola

country_flag Mixed Norm Kernels, Hyperkernels and Other Variants
Alexander J. Smola, 2008   (240 views)
@ NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008

  • Alexander J. Smola

country_flag Nonparametric Tests between Distributions
Alexander J. Smola, 2005   (756 views)
@ Workshop on Modelling in Classification and Statistical Learning, Eindhoven 2004

  • Alexander J. Smola

country_flag Learning Graph Matching
Alexander J. Smola, 2007   (2147 views)
@ 5th International Workshop on Mining and Learning with Graphs (MLG), Firenze 2007

  • Alexander J. Smola

country_flag Bayesian Kernel Methods
Alexander J. Smola, 2002   (616 views)
@ Machine Learning Summer School (MLSS), Canberra 2002

  • Alexander J. Smola

country_flag Unsupervised Learning with Kernels
Alexander J. Smola, 2003   (770 views)
@ Machine Learning Summer School (MLSS), Tübingen 2003

  • Alexander J. Smola

country_flag Exponential Families in Feature Space
Alexander J. Smola, 2004   (329 views)
@ Machine Learning Summer School (MLSS), Berder Island 2004

  • Alexander J. Smola

country_flag Exponential Families in Feature Space
Alexander J. Smola, 2005   (376 views)
@ Machine Learning Summer School (MLSS), Canberra 2005

  • Alexander J. Smola

country_flag Exponential Families
Alexander J. Smola, 2006   (3536 views)
@ Machine Learning Summer School (MLSS), Canberra 2006

  • Alexander J. Smola

country_flag Kernel Methods
Alexander J. Smola, 2006   (3454 views)
@ Machine Learning Summer School (MLSS), Taipei 2006

  • Alexander J. Smola

country_flag Unifying Divergence Minimization and Statistical Inference via Convex Duality
Alexander J. Smola, 2006   (262 views)
@ Machine Learning Summer School (MLSS), Taipei 2006

  • Alexander J. Smola

country_flag Kernel methods and Support Vector Machines
Alexander J. Smola, 2008   (11949 views)
@ Machine Learning Summer School (MLSS), Kioloa 2008

  • Alexander J. Smola

country_flag Parallel Topic Models
Alexander J. Smola, 2009   (294 views)
@ NIPS Workshops, Whistler 2009

  • Alexander J. Smola

country_flag Scaling Latent Variable Models
Alexander J. Smola, 2011   (382 views)
@ Bayesian Nonparametric Methods: Hope or Hype?

  • Alexander J. Smola

country_flag The Parameter Server
Alexander J. Smola, 2012   (1043 views)
@ Discrete Optimization in Machine Learning

  • Alexander J. Smola

country_flag Fast Food: Approximating Kernel Expansion in Loglinear Time
Alexander J. Smola, 2012   (1002 views)
@ Confluence between Kernel Methods and Graphical Models

  • Alexander J. Smola

country_flag Improving Maximum Margin Matrix Factorization
Alexandros Karatzoglou, Markus Weimer, Alexander J. Smola, 2008   (364 views)
@ European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

  • Alexander J. Smola

country_flag Is non-(geo)metricity an issue for machine learning?
Shai Ben-David, Edwin Hancock, Alexander J. Smola, Joachim M. Buhmann, 2010   (210 views)
@ 27th International Conference on Machine Learning (ICML), Haifa 2010

  • Alexander J. Smola

country_flag ν-MCD approach to novelty detection
Alexander N. Dolia, 2005   (115 views)
@ Workshop on Machine Learning, SVM and Large Scale Optimization, Thurnau 2005

  • Kernel Principal Component Analysis (Scholkopf, Smola, Muller, 1996)

country_flag Bayesian Optimization in a Billion Dimensions via Random Embeddings
Nando de Freitas, 2013   (204 views)
@ Large-scale Online Learning and Decision Making (LSOLDM) Workshop, Cumberland Lodge 2013

  • Convergence of Bayes Opt (e.g. dF, Zoghi & Smola, 2012)

country_flag Bayesian models of human inductive learning
Joshua B. Tenenbaum, 2007   (4106 views)
@ 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007

  • [c.f., Lawrence, 2004; Smola & Kondor 2003]