Papers
4,122 papers found
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela et al.
Differential Privacy for Functions and Functional Data
Rob Hall, Alessandro Rinaldo, Larry Wasserman
Dimension Independent Similarity Computation
Reza Bosagh Zadeh, Ashish Goel
Distribution-Dependent Sample Complexity of Large Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
Distributions of Angles in Random Packing on Spheres
Tony Cai, Jianqing Fan, Tiefeng Jiang
Divvy: Fast and Intuitive Exploratory Data Analysis
Joshua M. Lewis, Virginia R. de Sa, Laurens van der Maaten
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
Anastasios Roussos, Stavros Theodorakis, Vassilis Pitsikalis et al.
Efficient Active Learning of Halfspaces: An Aggressive Approach
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
Efficient Program Synthesis Using Constraint Satisfaction in Inductive Logic Programming
John Ahlgren, Shiu Yin Yuen
Experiment Selection for Causal Discovery
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Fast Generalized Subset Scan for Anomalous Pattern Detection
Edward McFowland III, Skyler Speakman, Daniel B. Neill
Fast MCMC Sampling for Markov Jump Processes and Extensions
Vinayak Rao, Yee Whye Teh
Finding Optimal Bayesian Networks Using Precedence Constraints
Pekka Parviainen, Mikko Koivisto
Gaussian Kullback-Leibler Approximate Inference
Edward Challis, David Barber
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan et al.
GPstuff: Bayesian Modeling with Gaussian Processes
Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen et al.
Greedy Feature Selection for Subspace Clustering
Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk
Greedy Sparsity-Constrained Optimization
Sohail Bahmani, Bhiksha Raj, Petros T. Boufounos
GURLS: A Least Squares Library for Supervised Learning
Andrea Tacchetti, Pavan K. Mallapragada, Matteo Santoro et al.
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Alberto N. Escalante-B., Laurenz Wiskott
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
JKernelMachines: A Simple Framework for Kernel Machines
David Picard, Nicolas Thome, Matthieu Cord
Joint Harmonic Functions and Their Supervised Connections
Mark Vere Culp, Kenneth Joseph Ryan