Papers
Imitation Learning by Coaching
He He, Jason Eisner, Hal Daume
Improved Sequence Classification Using Adaptive Segmental Sequence Alignment
Shahriar Shariat, Vladimir Pavlovic
Inference on networks of mixtures for robust robot mapping
Edwin Olson, Pratik Agarwal
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen
Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown
Integrating a Partial Model into Model Free Reinforcement Learning
Aviv Tamar, Dotan Di Castro, Ron Meir
Interpreting prediction markets: a stochastic approach
Rafael M. Frongillo, Nicolas Della Penna, Mark D. Reid
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Isotropic Hashing
Weihao Kong, Wu-jun Li
Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah
Iterative Reweighted Algorithms for Matrix Rank Minimization
Karthik Mohan, Maryam Fazel
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot et al.
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston et al.
Joint Modeling of a Matrix with Associated Text via Latent Binary Features
Xianxing Zhang, Lawrence Carin
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
Jan Grau, Jens Keilwagen, André Gohr et al.
Kernel Hyperalignment
Alexander Lorbert, Peter J. Ramadge
Kernel Latent SVM for Visual Recognition
Weilong Yang, Yang Wang, Arash Vahdat et al.
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems
Magalie Fromont, Béatrice Laurent, Matthieu Lerasle et al.
Kernel Topic Models
Philipp Hennig, David Stern, Ralf Herbrich et al.
Key Instance Detection in Multi-Instance Learning
Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou
Krylov Subspace Descent for Deep Learning
Oriol Vinyals, Daniel Povey
L1 Covering Numbers for Uniformly Bounded Convex Functions
Adityanand Guntuboyina, Bodhisattva Sen
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman et al.