Co-occurring keywords · papers mentioning both
Papers
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
AAAI 2019
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
AISTATS 2019
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
UAI 2019
Categorical Feature Compression via Submodular Optimization
ICML 2019
Consistent Online Optimization: Convex and Submodular
AISTATS 2019
Coverage Centrality Maximization in Undirected Networks
AAAI 2019
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets
AISTATS 2019
Fast Parallel Algorithms for Statistical Subset Selection Problems
NeurIPS 2019
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
AISTATS 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
NeurIPS 2019
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
AAAI 2019
Group-Fairness in Influence Maximization
IJCAI 2019
Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time
NeurIPS 2019
Migration as Submodular Optimization
AAAI 2019
Multivariate Submodular Optimization
ICML 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
AISTATS 2019
No-regret algorithms for online k-submodular maximization
AISTATS 2019
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
ICML 2019
Optimal Decision Tree with Noisy Outcomes
NeurIPS 2019
PAC Learnability of Node Functions in Networked Dynamical Systems
ICML 2019
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
AAAI 2019
Randomized Strategies for Robust Combinatorial Optimization
AAAI 2019
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
ICCV 2019
Submodular Batch Selection for Training Deep Neural Networks
IJCAI 2019
Submodular Cost Submodular Cover with an Approximate Oracle
ICML 2019