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tutorial
Kernel methods and Support Vector Machines
as author at Machine Learning Summer School (MLSS), Kioloa 2008,
80877 views
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lecture
Introduction to kernel methods
as author at Machine Learning Summer School (MLSS), Tübingen 2007,
41698 views
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lecture
Kernel Methods
as author at Machine Learning Summer School (MLSS), Taipei 2006,
24361 views
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tutorial
Exponential Families
as author at Machine Learning Summer School (MLSS), Canberra 2006,
20925 views
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invited talk
Fast Food: Approximating Kernel Expansion in Loglinear Time
as author at Confluence between Kernel Methods and Graphical Models,
9424 views
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invited talk
The Parameter Server
as author at Discrete Optimization in Machine Learning,
9333 views
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invited talk
Learning Graph Matching
as author at 5th International Workshop on Mining and Learning with Graphs (MLG), Firenze 2007,
13256 views
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lecture
Bayesian Kernel Methods
as author at Machine Learning Summer School (MLSS), Canberra 2002,
8924 views
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lecture
Unsupervised Learning with Kernels
as author at Machine Learning Summer School (MLSS), Tübingen 2003,
8389 views
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invited talk
Scaling Latent Variable Models
as author at Bayesian Nonparametric Methods: Hope or Hype?,
5906 views
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lecture
From collaborative filtering to multitask learning
as author at 27th International Conference on Machine Learning (ICML), Haifa 2010,
6199 views
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lecture
Exponential Families in Feature Space
as author at Machine Learning Summer School (MLSS), Canberra 2005,
7652 views
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lecture
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,
6845 views
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lecture
Nonparametric Tests between Distributions
as author at Workshop on Modelling in Classification and Statistical Learning, Eindhoven 2004,
7367 views
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tutorial
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,
1719 views
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best paper
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),
3202 views
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lecture
Exponential Families in Feature Space
as author at Machine Learning Summer School (MLSS), Berder Island 2004,
6913 views
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lecture
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,
6641 views
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lecture
Parallel Topic Models
as author at NIPS Workshops, Whistler 2009,
5236 views
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panel
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,
5006 views
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lecture
Mixed Norm Kernels, Hyperkernels and Other Variants
as author at NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008,
5207 views
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lecture
Unifying Divergence Minimization and Statistical Inference via Convex Duality
as author at Machine Learning Summer School (MLSS), Taipei 2006,
5464 views
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invited talk
Laplace operators and regularization Fast algorithms for translation invariant and dot product kernels
as author at NIPS Workshops, Lake Tahoe 2013,
2810 views
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invited talk
Algorithms, Data, Hardware and Tools - a Perfect Storm
as presenter at 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London 2018,
together with:
Edo Liberty (presenter),
1281 views
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invited talk
Users and Time
as author at KDD 2017 Workshops,
1223 views
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Springer,
