Co-occurring keywords · papers mentioning both
Papers
Model-Independent Online Learning for Influence Maximization
ICML 2017
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video
EMNLP 2017
On Subset Selection with General Cost Constraints
IJCAI 2017
Optimizing Ratio of Monotone Set Functions
IJCAI 2017
Real-Time Keyword Extraction from Conversations
EACL 2017
Stochastic Submodular Maximization: The Case of Coverage Functions
NeurIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NeurIPS 2017
Subset Selection under Noise
NeurIPS 2017
Tight Bounds on ℓ_1 Approximation and Learning of Self-Bounding Functions
ALT 2017
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
IJCNLP 2017
A Convex Surrogate Operator for General Non-Modular Loss Functions
AISTATS 2016
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
NeurIPS 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
COLING 2016
Algorithms for Optimizing the Ratio of Submodular Functions
ICML 2016
Budgeted stream-based active learning via adaptive submodular maximization
NeurIPS 2016
Computing and maximizing influence in linear threshold and triggering models
NeurIPS 2016
Cooperative Graphical Models
NeurIPS 2016
Deep Submodular Functions: Definitions and Learning
NeurIPS 2016
Learning Combinatorial Functions from Pairwise Comparisons
COLT 2016
Maximization of Approximately Submodular Functions
NeurIPS 2016
Optimal Tagging with Markov Chain Optimization
NeurIPS 2016
Parameter Learning for Log-supermodular Distributions
NeurIPS 2016
The Power of Optimization from Samples
NeurIPS 2016
Fast Mixing for Discrete Point Processes
COLT 2015
GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs
CVPR 2015