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A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food

A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food

Conor M. Artman
Aditya Mate
Ezinne Nwankwo
A. Heching
Tsuyoshi Idé
Jirí Navrátil
Karthikeyan Shanmugam
Wei Sun
Kush R. Varshney
Lauri Goldkind
Gidi Kroch
Jaclyn Sawyer
Ian Watson
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Papers citing "A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food"

13 / 13 papers shown
Title
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Aniket Das
Dheeraj M. Nagaraj
56
7
0
27 May 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
39
19
0
17 Nov 2022
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Brian M. Sadler
Furong Huang
Pratap Tokekar
Tianyi Zhou
38
9
0
02 Jun 2022
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
Aditya Mate
Lovish Madaan
Aparna Taneja
N. Madhiwalla
Shresth Verma
Gargi Singh
Aparna Hegde
Pradeep Varakantham
Milind Tambe
33
52
0
16 Sep 2021
Screening for an Infectious Disease as a Problem in Stochastic Control
Screening for an Infectious Disease as a Problem in Stochastic Control
Jakub Mareˇcek
16
3
0
01 Nov 2020
Whittle index based Q-learning for restless bandits with average reward
Whittle index based Q-learning for restless bandits with average reward
Konstantin Avrachenkov
Vivek Borkar
26
69
0
29 Apr 2020
Artificial Intelligence for Social Good: A Survey
Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi
Claire Wang
Fei Fang
AI4TS
47
81
0
07 Jan 2020
Thompson Sampling in Non-Episodic Restless Bandits
Thompson Sampling in Non-Episodic Restless Bandits
Young Hun Jung
Marc Abeille
Ambuj Tewari
21
19
0
12 Oct 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young Hun Jung
Ambuj Tewari
45
44
0
29 May 2019
Stein Variational Gradient Descent as Gradient Flow
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
55
274
0
25 Apr 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
54
1,082
0
16 Aug 2016
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Ian Osband
Benjamin Van Roy
BDL
74
257
0
01 Jul 2016
Measuring Sample Quality with Stein's Method
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
91
224
0
09 Jun 2015