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25 Results
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Poster
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Mon 18:30 |
Influence Maximization with Qiang Li · Wei Chen · Institute of Computing Xiaoming Sun · Institute of Computing Jialin Zhang |
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Workshop
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Fri 14:35 |
Learning High-Dimensional DAGs: Provable Statistical Guarantees and Scalable Approximation |
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Poster
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Wed 18:30 |
Efficient Online Linear Optimization with Approximation Algorithms Dan Garber |
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Poster
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Wed 18:30 |
Revenue Optimization with Approximate Bid Predictions Andres Munoz Medina · Sergei Vassilvitskii |
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Spotlight
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Wed 11:45 |
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri |
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Poster
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Wed 18:30 |
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri |
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Poster
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Tue 18:30 |
A Learning Error Analysis for Structured Prediction with Approximate Inference Yuanbin Wu · Man Lan · Shiliang Sun · Qi Zhang · Xuanjing Huang |
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Spotlight
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Wed 17:25 |
Natural Value Approximators: Learning when to Trust Past Estimates Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul |
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Poster
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Wed 18:30 |
Natural Value Approximators: Learning when to Trust Past Estimates Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul |
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Poster
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Tue 18:30 |
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation Shinji Ito · Daisuke Hatano · Hanna Sumita · Akihiro Yabe · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi |
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Spotlight
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Wed 15:30 |
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba |
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Poster
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Wed 18:30 |
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba |