Papers
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao, Song-chun Zhu
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári
Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor
Improved Moves for Truncated Convex Models
M. Pawan Kumar, Olga Veksler, Philip H.S. Torr
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari
Improving Policy Gradient Estimates with Influence Information
Jervis Pinto, Alan Fern, Tim Bauer et al.
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
In All Likelihood, Deep Belief Is Not Enough
Lucas Theis, Sebastian Gerwinn, Fabian Sinz et al.
Inductive reasoning about chimeric creatures
Charles Kemp
Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti et al.
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
Hai-son P. Le, Ziv Bar-joseph
Inferring spike-timing-dependent plasticity from spike train data
Ian Stevenson, Konrad Koerding
Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts
Tom Erez, Yuval Tassa, Emanuel Todorov
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
Information, Divergence and Risk for Binary Experiments
Mark D. Reid, Robert C. Williamson
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad, Liam Paninski
Information Rates of Nonparametric Gaussian Process Methods
Aad van der Vaart, Harry van Zanten
Information Theoretical Clustering via Semidefinite Programming
Meihong Wang, Fei Sha
Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning
Dorota Głowacka, John Shawe-Taylor, Alex Clark et al.
Inverse Reinforcement Learning in Partially Observable Environments
Jaedeug Choi, Kee-Eung Kim
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr et al.
Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh, Devavrat Shah
Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun
Kernel Analysis of Deep Networks
Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller