Works matching AU Fadili, Jalal
Results: 25
Sampling from Non-smooth Distributions Through Langevin Diffusion.
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- Methodology & Computing in Applied Probability, 2021, v. 23, n. 4, p. 1173, doi. 10.1007/s11009-020-09809-7
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On Adaptive Wavelet Estimation of a Class of Weighted Densities.
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- Communications in Statistics: Simulation & Computation, 2015, v. 44, n. 8, p. 2137, doi. 10.1080/03610918.2013.851216
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Fast Convergence of Dynamical ADMM via Time Scaling of Damped Inertial Dynamics.
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- Journal of Optimization Theory & Applications, 2022, v. 193, n. 1-3, p. 704, doi. 10.1007/s10957-021-01859-2
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Convergence Rates of Forward–Douglas–Rachford Splitting Method.
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- Journal of Optimization Theory & Applications, 2019, v. 182, n. 2, p. 606, doi. 10.1007/s10957-019-01524-9
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Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms.
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- Journal of Optimization Theory & Applications, 2019, v. 181, n. 1, p. 244, doi. 10.1007/s10957-018-01452-0
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Sharp oracle inequalities for low-complexity priors.
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- Annals of the Institute of Statistical Mathematics, 2020, v. 72, n. 2, p. 353, doi. 10.1007/s10463-018-0693-6
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The degrees of freedom of partly smooth regularizers.
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- Annals of the Institute of Statistical Mathematics, 2017, v. 69, n. 4, p. 791, doi. 10.1007/s10463-016-0563-z
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- Article
ON THE EFFECT OF PERTURBATIONS IN FIRST-ORDER OPTIMIZATION METHODS WITH INERTIA AND HESSIAN DRIVEN DAMPING.
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- Evolution Equations & Control Theory, 2023, v. 12, n. 1, p. 71, doi. 10.3934/eect.2022022
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Permutation testing of orthogonal factorial effects in a language-processing experiment using fMRI.
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- Human Brain Mapping, 2006, v. 27, n. 5, p. 425, doi. 10.1002/hbm.20252
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Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains.
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- Human Brain Mapping, 2001, v. 12, n. 2, p. 61, doi. 10.1002/1097-0193(200102)12:2<61::AID-HBM1004>3.0.CO;2-W
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Global convergence of model function based Bregman proximal minimization algorithms.
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- Journal of Global Optimization, 2022, v. 83, n. 4, p. 753, doi. 10.1007/s10898-021-01114-y
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Wavelet-Based Density Estimation in a Heteroscedastic Convolution Model.
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- Communications in Statistics: Theory & Methods, 2013, v. 42, n. 17, p. 3085, doi. 10.1080/03610926.2011.615440
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Discrete-to-continuum rates of convergence for nonlocal p-Laplacian evolution problems.
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- Information & Inference: A Journal of the IMA, 2024, v. 13, n. 4, p. 1, doi. 10.1093/imaiai/iaae031
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Sharp, strong and unique minimizers for low complexity robust recovery.
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- Information & Inference: A Journal of the IMA, 2023, v. 12, n. 3, p. 1461, doi. 10.1093/imaiai/iaad005
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Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
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- Journal of Optimization Theory & Applications, 2017, v. 172, n. 3, p. 874, doi. 10.1007/s10957-017-1061-z
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Convergence of iterates for first-order optimization algorithms with inertia and Hessian driven damping.
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- Optimization, 2023, v. 72, n. 5, p. 1199, doi. 10.1080/02331934.2021.2009828
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Local linear convergence analysis of Primal-Dual splitting methods.
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- Optimization, 2018, v. 67, n. 6, p. 821, doi. 10.1080/02331934.2018.1426584
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First-order optimization algorithms via inertial systems with Hessian driven damping.
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- Mathematical Programming, 2022, v. 193, n. 1, p. 113, doi. 10.1007/s10107-020-01591-1
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Convergence rates with inexact non-expansive operators.
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- Mathematical Programming, 2016, v. 159, n. 1/2, p. 403, doi. 10.1007/s10107-015-0964-4
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Continuum limit of p-Laplacian evolution problems on graphs: L<sup>q</sup> graphons and sparse graphs.
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- ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN), 2023, v. 57, n. 3, p. 1795, doi. 10.1051/m2an/2023006
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Limits and consistency of nonlocal and graph approximations to the Eikonal equation.
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- IMA Journal of Numerical Analysis, 2023, v. 43, n. 6, p. 3685, doi. 10.1093/imanum/drac082
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Wavelets and statistical analysis of functional magnetic resonance images of the human brain.
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- Statistical Methods in Medical Research, 2003, v. 12, n. 5, p. 375, doi. 10.1191/0962280203sm339ra
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Continuum limit of the nonlocal p-Laplacian evolution problem on random inhomogeneous graphs.
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- ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN), 2020, v. 54, n. 2, p. 565, doi. 10.1051/m2an/2019066
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Model selection with low complexity priors.
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- Information & Inference: A Journal of the IMA, 2015, v. 4, n. 3, p. 230, doi. 10.1093/imaiai/iav005
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Learning CHARME models with neural networks.
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- Statistical Papers, 2024, v. 65, n. 3, p. 1337, doi. 10.1007/s00362-023-01442-z
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