Shai Ben-David
homepage:http://www.cs.technion.ac.il/~shai/
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Lectures:

lecture
flag Clustering
as author at  The Analysis of Patterns, Bertinoro 2007,
1148 views
  keynote
flag No-Free-Lunch Theorems for Transfer Learning
as author at  Structured Data,
467 views
introduction
flag Introduction: Presentations of Different Views on Clustering by the Workshop Organizers
as author at  Clustering,
together with: Avrim Blum, Ulrike von Luxburg,
425 views
  invited talk
flag Utilizing Unlabeled Data for Classification-Prediction Learning
as author at  2nd Workshop on Applications of Pattern Analysis (WAPA), Castro Urdiales 2011,
142 views
invited talk
flag Invited Talk: Towards Theoretical Understanding of Domain Adaptation Learning
as author at  Workshops,
277 views
  lecture
flag A Framework for Probability Density Estimation
as author at  NIPS Workshop on Representations and Inference on Probability Distributions, Whistler 2007,
385 views
lecture
flag The Sample Complexity of Learning the Kernel
as author at  NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008,
323 views
  lecture
flag Clustering without any subjective similarity information
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
202 views
lecture
flag Subjective Measure for Distribution Similarity
as author at  NIPS Workshop on Representations and Inference on Probability Distributions, Whistler 2007,
346 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: Joachim M. Buhmann, Alexander J. Smola, Edwin Hancock,
169 views
invited talk
flag 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,
200 views
  lecture
flag A formal analysis of stability - lessons and open questions
as author at  Workshop on Stability and Resampling Methods for Clustering, Tübingen 2007,
264 views
lecture
flag 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,
196 views
  lecture
flag Inductive transfer via embeddings into a common feature space
as author at  Open House on Multi-Task and Complex Outputs Learning, London 2006,
147 views
lecture
flag 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,
104 views