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Publication search results
found 323 matches
- 2016
- Prashanth L. A., Cheng Jie, Michael C. Fu, Steven I. Marcus, Csaba Szepesvári:
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control. ICML 2016: 1406-1415 - David Abel, D. Ellis Hershkowitz, Michael L. Littman:
Near Optimal Behavior via Approximate State Abstraction. ICML 2016: 2915-2923 - Jacob D. Abernethy, Elad Hazan:
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier. ICML 2016: 2520-2528 - Jayadev Acharya, Ilias Diakonikolas, Jerry Li, Ludwig Schmidt:
Fast Algorithms for Segmented Regression. ICML 2016: 2878-2886 - Tudor Achim, Ashish Sabharwal, Stefano Ermon:
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference. ICML 2016: 2254-2262 - Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin:
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams. ICML 2016: 334-343 - Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki:
Model-Free Trajectory Optimization for Reinforcement Learning. ICML 2016: 2961-2970 - Miltiadis Allamanis, Hao Peng, Charles Sutton:
A Convolutional Attention Network for Extreme Summarization of Source Code. ICML 2016: 2091-2100 - Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville:
Dynamic Capacity Networks. ICML 2016: 2549-2558 - Jason M. Altschuler, Aditya Bhaskara, Gang Fu, Vahab S. Mirrokni, Afshin Rostamizadeh, Morteza Zadimoghaddam:
Greedy Column Subset Selection: New Bounds and Distributed Algorithms. ICML 2016: 2539-2548 - Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - Oren Anava, Shie Mannor:
Heteroscedastic Sequences: Beyond Gaussianity. ICML 2016: 755-763 - Yossi Arjevani, Ohad Shamir:
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms. ICML 2016: 908-916 - Martín Arjovsky, Amar Shah, Yoshua Bengio:
Unitary Evolution Recurrent Neural Networks. ICML 2016: 1120-1128 - Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra:
Provable Algorithms for Inference in Topic Models. ICML 2016: 2859-2867 - Raman Arora, Poorya Mianjy, Teodor V. Marinov:
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML 2016: 1786-1794 - Devansh Arpit, Yingbo Zhou, Bhargava Urala Kota, Venu Govindaraju:
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. ICML 2016: 1168-1176 - Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Venu Govindaraju:
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016: 136-144 - Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack:
A Simple and Provable Algorithm for Sparse Diagonal CCA. ICML 2016: 1148-1157 - Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes:
Algorithms for Optimizing the Ratio of Submodular Functions. ICML 2016: 2751-2759 - Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff:
Differential Geometric Regularization for Supervised Learning of Classifiers. ICML 2016: 1879-1888 - David Balduzzi, Muhammad Ghifary:
Strongly-Typed Recurrent Neural Networks. ICML 2016: 1292-1300 - Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause, Yaron Singer:
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization. ICML 2016: 2207-2216 - Borja Balle, Maziar Gomrokchi, Doina Precup:
Differentially Private Policy Evaluation. ICML 2016: 2130-2138 - Mehmet Emin Basbug, Barbara E. Engelhardt:
Hierarchical Compound Poisson Factorization. ICML 2016: 1795-1803 - Stefan Bauer, Bernhard Schölkopf, Jonas Peters:
The Arrow of Time in Multivariate Time Series. ICML 2016: 2043-2051 - David Belanger, Andrew McCallum:
Structured Prediction Energy Networks. ICML 2016: 983-992 - Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani:
Non-negative Matrix Factorization under Heavy Noise. ICML 2016: 1426-1434 - Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Sparse Parameter Recovery from Aggregated Data. ICML 2016: 1090-1099 - Pavol Bielik, Veselin Raychev, Martin T. Vechev:
PHOG: Probabilistic Model for Code. ICML 2016: 2933-2942
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