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06/12/2023
DRCFS: Doubly Robust Causal Feature Selection
Knowing the features of a complex system that are highly relevant to a p...
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04/04/2023
Optimal Transport for Correctional Learning
The contribution of this paper is a generalized formulation of correctio...
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07/20/2022
Learning Counterfactually Invariant Predictors
We propose a method to learn predictors that are invariant under counter...
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02/28/2022
Fast Feature Selection with Fairness Constraints
We study the fundamental problem of selecting optimal features for model...
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02/12/2021
Adaptive Sampling for Fast Constrained Maximization of Submodular Function
Several large-scale machine learning tasks, such as data summarization, ...
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11/15/2019
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings
We study the problem of maximizing a non-monotone submodular function un...
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11/13/2018
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
We investigate the performance of a deterministic GREEDY algorithm for t...
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05/28/2018
Randomized Local Search Heuristics for Submodular Maximization and Covering Problems: Benefits of Heavy-tailed Mutation Operators
A core feature of evolutionary algorithms is their mutation operator. Re...
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04/12/2017