Co-occurring keywords · papers mentioning both
Papers
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
NeurIPS 2013
Fast Semidifferential-based Submodular Function Optimization
ICML 2013
In Defense of 3D-Label Stereo
CVPR 2013
Learning Policies for Contextual Submodular Prediction
ICML 2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
NeurIPS 2013
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
ICML 2013
Reflection methods for user-friendly submodular optimization
NeurIPS 2013
Sampling-based Motion Planning for Robotic Information Gathering
RSS 2013
Structured Learning of Sum-of-Submodular Higher Order Energy Functions
ICCV 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
NeurIPS 2013
Submodular Salient Region Detection
CVPR 2013
Σ-Optimality for Active Learning on Gaussian Random Fields
NeurIPS 2013
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
NeurIPS 2012
GenDeR: A Generic Diversified Ranking Algorithm
NeurIPS 2012
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
NeurIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes
NeurIPS 2012
Online Submodular Minimization
JMLR 2012
Selecting Diverse Features via Spectral Regularization
NeurIPS 2012
Submodular-Bregman and the Lovász-Bregman Divergences with Applications
NeurIPS 2012
Linear Submodular Bandits and their Application to Diversified Retrieval
NeurIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning
NeurIPS 2011
Submodular Multi-Label Learning
NeurIPS 2011
Efficient Minimization of Decomposable Submodular Functions
NeurIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations
NeurIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
NeurIPS 2010