variance reduction - Robuta Search

https://www.ornl.gov/publication/singular-value-decomposition-adjoint-flux-distributions-monte-carlo-variance-reduction

Singular value decomposition of adjoint flux distributions for Monte Carlo variance reduction | ORNL

Monte Carlo (MC) shielding calculations often use weight windows (WWs) and biased sources formed from a deterministic estimate of the adjoint flux to improve...

singular value decomposition monte carlo adjoint flux distributions

https://openreview.net/forum?id=v9Wq-mycD4r&referrer=%5Bthe%20profile%20of%20Payal%20Bawa%5D(%2Fprofile%3Fid%3D~Payal_Bawa1)

Variance Reduction in Off-Policy Deep Reinforcement Learning using Spectral Normalization |...

Off-policy deep reinforcement learning algorithms like Soft Actor Critic (SAC) have achieved state-of-the-art results in several high dimensional continuous...

deep reinforcement learning variance reduction policy using spectral

https://deepai.org/publication/variance-reduction-for-mcmc-methods-via-martingale-representations

Variance reduction for MCMC methods via martingale representations | DeepAI

03/18/19 - In this paper we propose an efficient variance reduction approach for MCMC algorithms relying on a novel discrete time martingale ...

variance reduction mcmc methods via martingale representations

https://openreview.net/forum?id=1fMcdLp3or&referrer=%5Bthe%20profile%20of%20Egor%20Shulgin%5D(%2Fprofile%3Fid%3D~Egor_Shulgin1)

SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device...

Cross-device training is a crucial subfield of federated learning, where the number of clients can reach the billions. Standard approaches and local methods...

variance reduction spam stochastic proximal point

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Contact | Variance Reduction International

Contact Variance Reduction International for Lean Six Sigma consulting, training, and certification. Located in the Greater Houston area, TX. USA. Serving...

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https://arxiv.org/abs/1805.03359

[1805.03359] Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Abstract page for arXiv paper 1805.03359: Reward Estimation for Variance Reduction in Deep Reinforcement Learning

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