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invited talk
Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning
as author at 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage 2019,
10 views
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invited talk
Friends Don’t Let Friends Deploy Black-Box Models: Preventing Bias via Transparent Machine Learning
as author at KDD 2017 Workshops,
1395 views
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keynote
Interactive Machine Learning via Transparent Modeling: Putting Experts in the Driver’s Seat
as author at KDD 2017 Workshops,
785 views
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lecture
Improving Classification with Pairwise Constraints: A Margin-based Approach
as author at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008,
together with:
Nam Nguyen,
3531 views
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lecture
Model Compression: Bagging your Cake and Eating it too (part 2)
as author at NIPS Workshop on Efficient Machine Learning, Whistler 2007,
3365 views
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lecture
Welcome from the Program Chairs
as author at 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007,
4009 views
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lecture
KDD - CUP 2004
as author at Solomon seminar,
3770 views
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lecture
Model Compression
as author at Solomon seminar,
4533 views
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lecture
Spooky Stuff in Metric Space
as author at Solomon seminar,
6279 views
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lecture
Which Supervised Learning Method Works Best for What? An Empirical Comparison of Learning Methods and Metrics
as author at Solomon seminar,
31314 views
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debate
Lunch debate 27.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
Mikhail Belkin (coauthor),
John Langford (coauthor),
Adam Kalai (coauthor),
3660 views
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lecture
Empirical Comparisons of Learning Methods & Case Studies
as author at Machine Learning Summer School (MLSS), Chicago 2005,
6153 views
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Springer,
