Co-occurring keywords · papers mentioning both
Papers
Learning Set Functions with Limited Complementarity
AAAI 2019
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
AAAI 2019
Randomized Strategies for Robust Combinatorial Optimization
AAAI 2019
Variational Inference of Penalized Regression with Submodular Functions
UAI 2019
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection
JMLR 2018
Combinatorial Cost Sharing
IJCAI 2018
Constrained Interacting Submodular Groupings
ICML 2018
Differentiable Submodular Maximization
IJCAI 2018
Experimental Design under the Bradley-Terry Model
IJCAI 2018
Learning to Optimize Combinatorial Functions
ICML 2018
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
NeurIPS 2018
Multiwinner Voting with Fairness Constraints
IJCAI 2018
Optimization for Approximate Submodularity
NeurIPS 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
ICML 2018
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
IJCAI 2018
Submodularity on Hypergraphs: From Sets to Sequences
AISTATS 2018
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
NeurIPS 2018
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
AISTATS 2017
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
ICML 2017
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L_1-norms
AISTATS 2017
Influence Maximization with ε-Almost Submodular Threshold Functions
NeurIPS 2017
Learning Determinantal Point Processes with Moments and Cycles
ICML 2017
Local Aggregative Games
NeurIPS 2017
Minimizing a Submodular Function from Samples
NeurIPS 2017