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20132020
most citedBig Data Computing and Clouds: Trends and Future Directions

854 citations

22 papers

cs.LG2020★ 13 cited

Nonstationary Reinforcement Learning with Linear Function Approximation

Huozhi Zhou, Jinglin Chen, Lav R. Varshney +1

We consider reinforcement learning (RL) in episodic Markov decision processes (MDPs) with linear function approximation under drifting environment. Specifically, both the reward an…

astro-ph.GA2020★ 24 cited

A fundamental test for MOND

Valerio Marra, Davi C. Rodrigues, Álefe O. F. de Almeida

The Radial Acceleration Relation (RAR) shows a strong correlation between two accelerations associated to galaxy rotation curves. The relation between these accelerations is given…

math.OC2019

Financial storage rights for hydroelectricity

L. S. A. Martins, R. L. Hochstetler

There has recently been growing interest in the development of financial storage rights for energy storage systems as instruments akin to their transmission counterparts as a means…

math.OC2019★ 27 cited

Benders' decomposition of the unit commitment problem with semidefinite relaxation of AC power flow constraints

M. Paredes, L. S. A. Martins, S. Soares +1

In this paper we present a formulation of the unit commitment problem with AC power flow constraints. It is solved by a Benders decomposition in which the unit commitment master pr…

cs.LG2019★ 15 cited

Wasserstein Barycenter Model Ensembling

Pierre Dognin, Igor Melnyk, Youssef Mroueh +3

In this paper we propose to perform model ensembling in a multiclass or a multilabel learning setting using Wasserstein (W.) barycenters. Optimal transport metrics, such as the Was…

cs.DS2018

Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation

David Bergman, Carlos Cardonha, Saharnaz Mehrani

Bin Packing with Minimum Color Fragmentation (BPMCF) is an extension of the Bin Packing Problem in which each item has a size and a color and the goal is to minimize the sum of the…