Alexander J. Smola
homepage:http://alex.smola.org/
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Lectures:

tutorial
flag Amazon Web Services & MxNET
as author at  23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017,
together with: Zachary C. Lipton,
22 views
  invited talk
locked flag Users and Time
as author at  KDD 2017 Workshops,
best paper
flag Award Ceremony
as presenter at  22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
together with: Bing Liu (presenter), Charu Aggarwal (presenter), Rastogi Rajeev (presenter), Dou Shen (presenter), Usama Fayyad (presenter), Rajesh Parekh (presenter), Evangelos Simoudis (presenter), Faisal Farooq (presenter), Ron Bekkerman (presenter), Markus Weimer (presenter), Vijay Narayanan (presenter), Jiawei Han (presenter), Wei Wang (presenter), Jian Pei (presenter),
71 views
  invited talk
flag Laplace operators and regularization Fast algorithms for translation invariant and dot product kernels
as author at  NIPS Workshops, Lake Tahoe 2013,
28 views
invited talk
flag Fast Food: Approximating Kernel Expansion in Loglinear Time
as author at  Confluence between Kernel Methods and Graphical Models,
1144 views
  invited talk
flag The Parameter Server
as author at  Discrete Optimization in Machine Learning,
1155 views
invited talk
flag Scaling Latent Variable Models
as author at  Bayesian Nonparametric Methods: Hope or Hype?,
433 views
  panel
flag Is non-(geo)metricity an issue for machine learning?
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
together with: Shai Ben-David, Edwin Hancock, Joachim M. Buhmann,
232 views
lecture
flag From collaborative filtering to multitask learning
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
458 views
  lecture
flag Parallel Topic Models
as author at  NIPS Workshops, Whistler 2009,
320 views
lecture
flag Mixed Norm Kernels, Hyperkernels and Other Variants
as author at  NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008,
247 views
  lecture
flag Improving Maximum Margin Matrix Factorization
as author at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008,
together with: Alexandros Karatzoglou, Markus Weimer,
392 views
tutorial
flag Kernel methods and Support Vector Machines
as author at  Machine Learning Summer School (MLSS), Kioloa 2008,
12500 views
  lecture
flag Introduction to kernel methods
as author at  Machine Learning Summer School (MLSS), Tübingen 2007,
6931 views
invited talk
flag Learning Graph Matching
as author at  5th International Workshop on Mining and Learning with Graphs (MLG), Firenze 2007,
2208 views
  lecture
flag Using features of probability distributions to achieve covariate shift
as author at  NIPS Workshop on Learning when Test and Training Inputs Have Different Distributions, Whistler 2006,
310 views
lecture
flag Kernel Methods
as author at  Machine Learning Summer School (MLSS), Taipei 2006,
3589 views
  lecture
flag Unifying Divergence Minimization and Statistical Inference via Convex Duality
as author at  Machine Learning Summer School (MLSS), Taipei 2006,
280 views
tutorial
flag Exponential Families
as author at  Machine Learning Summer School (MLSS), Canberra 2006,
3791 views
  lecture
flag Nonparametric Tests between Distributions
as author at  Workshop on Modelling in Classification and Statistical Learning, Eindhoven 2004,
782 views
lecture
flag Exponential Families in Feature Space
as author at  Machine Learning Summer School (MLSS), Canberra 2005,
398 views
  lecture
flag Exponential Families in Feature Space
as author at  Machine Learning Summer School (MLSS), Berder Island 2004,
357 views
lecture
flag Unsupervised Learning with Kernels
as author at  Machine Learning Summer School (MLSS), Tübingen 2003,
792 views
  lecture
flag Bayesian Kernel Methods
as author at  Machine Learning Summer School (MLSS), Canberra 2002,
647 views