Papers
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
Zeeshan Syed, John V. Guttag
Image Denoising with Kernels Based on Natural Image Relations
Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls et al.
Implicit Differentiation by Perturbation
Justin Domke
Implicit encoding of prior probabilities in optimal neural populations
Deep Ganguli, Eero P. Simoncelli
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
Mathieu Salzmann, Raquel Urtasun
Importance Sampling for Continuous Time Bayesian Networks
Yu Fan, Jing Xu, Christian R. Shelton
Impossibility Theorems for Domain Adaptation
Shai Ben David, Tyler Lu, Teresa Luu et al.
Improvements to the Sequence Memoizer
Jan Gasthaus, Yee W. Teh
Improving Human Judgments by Decontaminating Sequential Dependencies
Michael Mozer, Harold Pashler, Matthew Wilder et al.
Improving posterior marginal approximations in latent Gaussian models
Botond Cseke, Tom Heskes
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Yi Sun, Jürgen Schmidhuber, Faustino J. Gomez
Incremental Sampling-based Algorithms for Optimal Motion Planning
S. Karaman and E. Frazzoli
Incremental Sigmoid Belief Networks for Grammar Learning
James Henderson, Ivan Titov
Incremental Sparsification for Real-time Online Model Learning
Duy Nguyen–Tuong, Jan Peters
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
Kaiming Li, Lei Guo, Carlos Faraco et al.
Inducing Tree-Substitution Grammars
Trevor Cohn, Phil Blunsom, Sharon Goldwater
Inductive Principles for Restricted Boltzmann Machine Learning
Benjamin Marlin, Kevin Swersky, Bo Chen et al.
Inductive Regularized Learning of Kernel Functions
Prateek Jain, Brian Kulis, Inderjit S. Dhillon
Inference and communication in the game of Password
Yang Xu, Charles Kemp
Inference and Learning in Networks of Queues
Charles Sutton, Michael I. Jordan
Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson, Carlos Guestrin
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
Kanaka Rajan, L Abbott, Haim Sompolinsky
Infinite Predictor Subspace Models for Multitask Learning
Piyush Rai, Hal Daumé III
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
Morten Mørup, Kristoffer Madsen, Anne-marie Dogonowski et al.