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Poster
Mon 18:30 Parametric Simplex Method for Sparse Learning
Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao
Poster
Wed 18:30 From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar · Isabel Valera · Manuel Rodriguez · Krishna Gummadi · Adrian Weller
Poster
Mon 18:30 Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
Saurabh Verma · Zhi-Li Zhang
Poster
Wed 18:30 A General Framework for Robust Interactive Learning
Ehsan Emamjomeh-Zadeh · David Kempe
Poster
Mon 18:30 Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
Muhammad Farhan · Juvaria Tariq · Arif Zaman · Mudassir Shabbir · Imdad Ullah Khan
Poster
Mon 18:30 Effective Parallelisation for Machine Learning
Michael Kamp · Mario Boley · Olana Missura · Thomas Gärtner
Poster
Tue 18:30 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
Zhan Shi · Xinhua Zhang · Yaoliang Yu
Poster
Mon 18:30 Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin · Gemma Roig · Tomaso Poggio
Poster
Wed 18:30 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz
Poster
Mon 18:30 Selective Classification for Deep Neural Networks
Yonatan Geifman · Ran El-Yaniv
Poster
Mon 18:30 Maximum Margin Interval Trees
Alexandre Drouin · Toby Hocking · Francois Laviolette
Poster
Mon 18:30 Learning with Feature Evolvable Streams
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou