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AAAI
2015
8 years 6 months ago
A Logic for Reasoning About Game Strategies
Dongmo Zhang, Michael Thielscher
AAAI
2015
8 years 6 months ago
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
The expressive power of a Gaussian process (GP) model comes at a cost of poor scalability in the data size. To improve its scalability, this paper presents a low-rank-cum-Markov a...
Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jai...
AAAI
2015
8 years 6 months ago
Doubly Robust Covariate Shift Correction
Covariate shift correction allows one to perform inference even when the distribution of the covariates on the training set does not match those on the test set. This is achieved ...
Sashank Jakkam Reddi, Barnabás Póczo...
AAAI
2015
8 years 6 months ago
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty
Markov Decision Problems, MDPs offer an effective mechanism for planning under uncertainty. However, due to unavoidable uncertainty over models, it is difficult to obtain an exac...
Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahme...
AAAI
2015
8 years 6 months ago
The Pricing War Continues: On Competitive Multi-Item Pricing
We study a game with strategic vendors (the agents) who own multiple items and a single buyer with a submodular valuation function. The goal of the vendors is to maximize their re...
Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. R...
AAAI
2015
8 years 6 months ago
Obtaining Well Calibrated Probabilities Using Bayesian Binning
Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in artificial intelligence. In this paper we present a...
Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Ha...
AAAI
2015
8 years 6 months ago
Limitations of Front-To-End Bidirectional Heuristic Search
We present an intuitive explanation for the limited effectiveness of front-to-end bidirectional heuristic search, supported with extensive evidence from many commonly-studied doma...
Joseph Kelly Barker, Richard E. Korf
AAAI
2015
8 years 6 months ago
Pareto Ensemble Pruning
Ensemble learning is among the state-of-the-art learning techniques, which trains and combines many base learners. Ensemble pruning removes some of the base learners of an ensembl...
Chao Qian, Yang Yu, Zhi-Hua Zhou
AAAI
2015
8 years 6 months ago
Representing Aggregators in Relational Probabilistic Models
We consider the problem of, given a probabilistic model on a set of random variables, how to add a new variable that depends on the other variables, without changing the original ...
David Buchman, David Poole
AAAI
2015
8 years 6 months ago
Do Capacity Constraints Constrain Coalitions?
We study strong equilibria in symmetric capacitated costsharing games. In these games, a graph with designated source s and sink t is given, and each edge is associated with some ...
Michal Feldman, Ofir Geri