Co-occurring keywords · papers mentioning both
Papers
A Novel Method to Solve Neural Knapsack Problems
ICML 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
AAAI 2021
Novel Upper Bounds for the Constrained Most Probable Explanation Task
NeurIPS 2021
Online Knapsack with Frequency Predictions
NeurIPS 2021
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
AAAI 2021
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
EACL 2021
A Novel Approach for Constrained Optimization in Graphical Models
NeurIPS 2020
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
ACML 2020
Fair Knapsack
AAAI 2019
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions
IJCAI 2019
Randomized Strategies for Robust Combinatorial Optimization
AAAI 2019
Rotational Diversity in Multi-Cycle Assignment Problems
AAAI 2019
Unifying the Stochastic and the Adversarial Bandits with Knapsack
IJCAI 2019
Combinatorial Semi-Bandits with Knapsacks
AISTATS 2018
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions
NeurIPS 2017
Linear Contextual Bandits with Knapsacks
NeurIPS 2016
Task Variant Allocation in Distributed Robotics
RSS 2016
Resourceful Contextual Bandits
COLT 2014