Papers
176,624 papers found
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
Dapo Omidiran, Martin J. Wainwright
Hilbert Space Embeddings and Metrics on Probability Measures
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu et al.
HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar Givoni, Richard Zemel
How to Explain Individual Classification Decisions
David Baehrens, Timon Schroeter, Stefan Harmeling et al.
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Miloš Radovanović
Humans Learn Using Manifolds, Reluctantly
Tim Rogers, Chuck Kalish, Joseph Harrison et al.
Identifying Cause and Effect on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Identifying Dendritic Processing
Aurel A. Lazar, Yevgeniy Slutskiy
Identifying graph-structured activation patterns in networks
James Sharpnack, Aarti Singh
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