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AAAI
2015
10 years 1 months ago
The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits
Current algorithms for the standard multi-armed bandit problem have good empirical performance and optimal regret bounds. However, real-world problems often differ from the standa...
Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran P...
AAAI
2015
10 years 1 months ago
Lazier Than Lazy Greedy
Is it possible to maximize a monotone submodular function faster than the widely used lazy greedy algorithm (also known as accelerated greedy), both in theory and practice? In thi...
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, A...
AAAI
2015
10 years 1 months ago
Deep Representation Learning with Target Coding
We consider the problem of learning deep representation when target labels are available. In this paper, we show that there exists intrinsic relationship between target coding and...
Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. S...
AAAI
2015
10 years 1 months ago
Concurrent PAC RL
In many real-world situations a decision maker may make decisions across many separate reinforcement learning tasks in parallel, yet there has been very little work on concurrent ...
Zhaohan Guo, Emma Brunskill
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AAAI
2015
10 years 1 months ago
Audit Games with Multiple Defender Resources
Modern organizations (e.g., hospitals, social networks, government agencies) rely heavily on audit to detect and punish insiders who inappropriately access and disclose confident...
Jeremiah Blocki, Nicolas Christin, Anupam Datta, A...
AAAI
2015
10 years 1 months ago
Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
Pronoun resolution and common noun phrase resolution are the two most challenging subtasks of coreference resolution. While a lot of work has focused on pronoun resolution, common...
Chen Chen, Vincent Ng
AAAI
2015
10 years 1 months ago
An SVD and Derivative Kernel Approach to Learning from Geometric Data
Motivated by problems such as molecular energy prediction, we derive an (improper) kernel between geometric inputs, that is able to capture the relevant rotational and translation...
Eric Wong, J. Zico Kolter
AAAI
2015
10 years 1 months ago
Proximal Operators for Multi-Agent Path Planning
We address the problem of planning collision-free paths for multiple agents using optimization methods known as proximal algorithms. Recently this approach was explored in Bento e...
José Bento, Nate Derbinsky, Charles Mathy, ...
AAAI
2015
10 years 1 months ago
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
Model selection and hyperparameter optimization is crucial in applying machine learning to a novel dataset. Recently, a subcommunity of machine learning has focused on solving thi...
Matthias Feurer, Jost Tobias Springenberg, Frank H...