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20192025
most citedDynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs

3 citations · 5 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Maximum Entropy Model Correction in Reinforcement Learning

Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh +1

We propose and theoretically analyze an approach for planning with an approximate model in reinforcement learning that can reduce the adverse impact of model error. If the model is…

cs.LG2023

Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients

Mete Kemertas, Allan D. Jepson, Amir-massoud Farahmand

We propose Mirror Descent Optimal Transport (MDOT), a novel method for solving discrete optimal transport (OT) problems with high precision, by unifying temperature annealing in en…