Artificial Intelligence

Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning with Fredholm Kernels NeurIPS 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Lifted MAP Inference for Markov Logic Networks AISTATS 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Local Decorrelation For Improved Pedestrian Detection NeurIPS 2014 Look at the Driver, Look at the Road: No Distraction! No Accident! CVPR 2014 Looking Beyond the Visible Scene CVPR 2014 Loopy Belief Propagation in the Presence of Determinism AISTATS 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction CVPR 2014 Max-Margin Infinite Hidden Markov Models ICML 2014