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Papers

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Importance Sampling Tree for Large-scale Empirical Expectation
Olivier Canevet, Cijo Jose, Francois Fleuret
2016 ICML
Improper Deep Kernels
Uri Heinemann, Roi Livni, Elad Eban et al.
2016 AISTATS
2016 INTERSPEECH
Improved Dropout for Shallow and Deep Learning
Zhe Li, Boqing Gong, Tianbao Yang
2016 NIPS
Improved Error Bounds for Tree Representations of Metric Spaces
Samir Chowdhury, Facundo Mémoli, Zane T Smith
2016 NIPS
Improved Learning Complexity in Combinatorial Pure Exploration Bandits
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh et al.
2016 AISTATS
2016 INTERSPEECH
Improved Music Genre Classification with Convolutional Neural Networks
Weibin Zhang, Wenkang Lei, Xiangmin Xu et al.
2016 INTERSPEECH
Improved MVDR Beamforming Using Single-Channel Mask Prediction Networks
Hakan Erdogan, John R. Hershey, Shinji Watanabe et al.
2016 INTERSPEECH
2016 INTERSPEECH
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy et al.
2016 NIPS
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba et al.
2016 NIPS
2016 INTERSPEECH
Improved Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz et al.
2016 NIPS
2016 INTERSPEECH