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lecture
Clustering
as author at The Analysis of Patterns, Bertinoro 2007,
10277 views
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keynote
No-Free-Lunch Theorems for Transfer Learning
as author at Structured Data,
6252 views
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introduction
Introduction: Presentations of Different Views on Clustering by the Workshop Organizers
as author at Clustering,
together with:
Ulrike von Luxburg,
Avrim Blum,
5678 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:
Edwin Hancock,
Alex Smola,
Joachim M. Buhmann,
5006 views
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invited talk
Invited Talk: Towards Theoretical Understanding of Domain Adaptation Learning
as author at Workshops,
4936 views
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lecture
Clustering without any subjective similarity information
as author at 27th International Conference on Machine Learning (ICML), Haifa 2010,
4152 views
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lecture
The Sample Complexity of Learning the Kernel
as author at NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008,
4622 views
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invited talk
Utilizing Unlabeled Data for Classification-Prediction Learning
as author at 2nd Workshop on Applications of Pattern Analysis (WAPA), Castro Urdiales 2011,
3717 views
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lecture
A Domain Adaptation Formal Framework Addressing the Training/Test Distribution Gap
as author at NIPS Workshop on Learning when Test and Training Inputs Have Different Distributions, Whistler 2006,
5088 views
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lecture
A formal analysis of stability - lessons and open questions
as author at Workshop on Stability and Resampling Methods for Clustering, Tübingen 2007,
4775 views
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lecture
A Framework for Probability Density Estimation
as author at NIPS Workshop on Representations and Inference on Probability Distributions, Whistler 2007,
4433 views
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invited talk
Theory-Practice Interplay in Machine Learning – Emerging Theoretical Challenges
as author at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bled 2009,
3889 views
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invited talk
Understanding Domain Adaptation Learning - the good and the not so good
as author at NIPS Workshops, Lake Tahoe 2013,
2448 views
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lecture
Subjective Measure for Distribution Similarity
as author at NIPS Workshop on Representations and Inference on Probability Distributions, Whistler 2007,
3966 views
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lecture
Representation of Prior Knowledge - from Bias to 'Meta-Bias'
as author at NIPS Workshop on New Challenges in Theoretical Machine Learning: Learning with Data-dependent Concept Spaces, Whistler 2008,
3062 views
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lecture
Inductive transfer via embeddings into a common feature space
as author at Open House on Multi-Task and Complex Outputs Learning, London 2006,
3351 views
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Springer,
