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96 Results
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Poster
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Tue 18:30 |
Multi-Objective Non-parametric Sequential Prediction Guy Uziel · Ran El-Yaniv |
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Poster
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Wed 18:30 |
Ensemble Sampling Xiuyuan Lu · Benjamin Van Roy |
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Poster
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Tue 18:30 |
Graph Matching via Multiplicative Update Algorithm Bo Jiang · Jin Tang · Chris Ding · Yihong Gong · Bin Luo |
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Poster
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Wed 18:30 |
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback Zheng Wen · Branislav Kveton · Michal Valko · Sharan Vaswani |
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Poster
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Tue 18:30 |
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms Marco Cusumano-Towner · Vikash Mansinghka |
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Poster
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Wed 18:30 |
Rotting Bandits Nir Levine · Yacov Crammer · Shie Mannor |
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Poster
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Mon 18:30 |
A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid |
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Poster
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Wed 18:30 |
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms James McInerney |
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Poster
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Tue 18:30 |
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu · Maxim Raginsky |
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Poster
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Mon 18:30 |
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning Xingguo Li · Lin Yang · Jason Ge · Jarvis Haupt · Tong Zhang · Tuo Zhao |
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Poster
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Wed 18:30 |
Practical Locally Private Heavy Hitters Raef Bassily · Kobbi Nissim · Uri Stemmer · Abhradeep Guha Thakurta |
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Poster
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Wed 18:30 |
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications Linus Hamilton · Frederic Koehler · Ankur Moitra |