Papers
173,579 papers found
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
Bruno Scherrer, Boris Lesner
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
Qirong Ho, Junming Yin, Eric P. Xing
On Using Nearly-Independent Feature Families for High Precision and Confidence
Omid Madani, Manfred Georg, David A. Ross
Open Problem: Better Bounds for Online Logistic Regression
H. Brendan McMahan, Matthew Streeter
Open Problem: Does AdaBoost Always Cycle?
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies
Open Problem: Learning Dynamic Network Models from a Static Snapshot
Jan Ramon, Constantin Comendant
Optimal Control with Weighted Average Costs and Temporal Logic Specifications
Eric Wolff, Ufuk Topcu, Richard Murray
Optimal Distributed Online Prediction Using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir et al.
Optimal kernel choice for large-scale two-sample tests
Arthur Gretton, Dino Sejdinovic, Heiko Strathmann et al.
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss
Zhuo Wang, Alan Stocker, Daniel D Lee
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
Xi Chen, Qihang Lin, Javier Pena
Optimistic Bayesian Sampling in Contextual-Bandit Problems
Benedict C. May, Nathan Korda, Anthony Lee et al.
Optimistic planning for Markov decision processes
Lucian Busoniu, Remi Munos
Optimization-Based Estimator Design for Vision-Aided Inertial Navigation
Mingyang Li, Anastasios Mourikis
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing
Ronald Wilcox, Stefanos Nikolaidis, Julie Shah
PAC-Bayes Bounds with Data Dependent Priors
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor et al.
Pairwise Support Vector Machines and their Application to Large Scale Problems
Carl Brunner, Andreas Fischer, Klaus Luig et al.
Parametric Local Metric Learning for Nearest Neighbor Classification
Jun Wang, Alexandros Kalousis, Adam Woznica
Parsing Indoor Scenes Using RGB-D Imagery
Camillo Taylor, Anthony Cowley
Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task
Jenna Wiens, Eric Horvitz, John V. Guttag
Pattern for Python
Tom De Smedt, Walter Daelemans
Perceptron Learning of SAT
Alex Flint, Matthew Blaschko