https://deepai.org/publication/robust-communication-complexity-of-matching-edcs-achieves-5-6-approximation
05/01/23 - We study the robust communication complexity of maximum matching. Edges of an arbitrary n-vertex graph G are randomly partitioned ...
communication complexityrobustmatchingedcsapproximation
https://www.gauss-centre.eu/results/environmentandenergy/massive-parallel-approximation-of-static-and-time-variable-reference-surfaces-with-c1-smooth-finite-element-model-functions
massiveparallelapproximationstatictime
https://deepai.org/publication/distributed-approximation-of-functions-over-fast-fading-channels-with-applications-to-distributed-learning-and-the-max-consensus-problem
07/08/19 - In this work, we consider the problem of distributed approximation of functions over multiple-access channels with additive noise....
approximation of functionsfast fadingdistributedchannelsapplications
https://arxiv.org/abs/2312.00644
Abstract page for arXiv paper 2312.00644: Neural networks for the approximation of Euler's elastica
neural networksapproximationeuler
https://www.arxiv.org/abs/2509.24740
Abstract page for arXiv paper 2509.24740: SymBoltz.jl: a symbolic-numeric, approximation-free and differentiable linear Einstein-Boltzmann solver
jlsymbolicnumericapproximationfree
https://openreview.net/forum?id=DvvzUL8_Bt
Robust Markov Decision Processes (RMDPs) provide a framework for sequential decision-making that is robust to perturbations on the transition kernel. However,...
reinforcement learningrobustviaadversarialkernel
https://deepai.org/publication/theoretical-issues-in-deep-networks-approximation-optimization-and-generalization
08/25/19 - While deep learning is successful in a number of applications, it is not yet well understood theoretically. A satisfactory theoret...
in deeptheoreticalissuesnetworksapproximation
https://transformator-plus.com/book.php?q=download-optimal-estimation-in-approximation-theory.php
JSTOR is download optimal estimation in of ITHAKA, a s eCommerce living the interesting realism relate statistical subjects to exist the political request and...
optimal estimationapproximation theorydownload
https://edubirdie.com/docs/massachusetts-institute-of-technology/18-089-review-of-mathematics/40848-functions-of-3-variables-linear-approximation
Functions of 3 variables. Linear approximation Suppose we want to find the tangent plane to... Read more
linear approximationfunctionsvariablesmassachusettsinstitute
https://arxiv.org/abs/1703.01772v1
Abstract page for arXiv paper 1703.01772v1: Approximation diophantienne et distribution locale sur une surface torique
approximationetdistributionlocalesur
https://www.arxiv.org/abs/1401.1022
Abstract page for arXiv paper 1401.1022: On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear...
control variatesstochastic approximationusing
https://openreview.net/forum?id=bQvzHbtyW_E&referrer=%5Bthe%20profile%20of%20Boris%20Flach%5D(%2Fprofile%3Fid%3D~Boris_Flach1)
The importance of Variational Autoencoders reaches far beyond standalone generative models -- the approach is also used for learning latent representations and...
approximation errorconditional independencevaeelbo
https://deepai.org/publication/finite-time-error-bounds-for-linear-stochastic-approximation-and-td-learning
02/03/19 - We consider the dynamics of a linear stochastic approximation algorithm driven by Markovian noise, and derive finite-time bounds o...
stochastic approximationfinitetimeerrorbounds
https://arxiv.org/abs/2406.04846
Abstract page for arXiv paper 2406.04846: Efficient Fault-Tolerant Single Qubit Gate Approximation And Universal Quantum Computation Without Using The...
fault tolerantefficientsinglequbitgate
https://www.tonight.de/duesseldorf/approximation-festival-2024-in-duesseldorf-programm-tickets-anreise-das-erwartet-euch_350152.html
Auch in diesem Jahr findet das Approximation Festival wieder in Düsseldorf statt. Auf welche Auftritte ihr euch freuen dürft, erfahrt ihr hier.
approximationfestivalprogrammticketsinfos