Adil Salim

Computer Science · Physical Sciences

8h-index242citations48works5.42yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Stochastic Gradient Optimization Techniques(20), Sparse and Compressive Sensing Techniques(19), Markov Chains and Monte Carlo Methods(16), Optimization and Variational Analysis(11), Advanced Optimization Algorithms Research(6)

Publications48 total

High-accuracy and dimension-free sampling with diffusions
arXiv (Cornell University)·2026Open Access
High-accuracy and dimension-free sampling with diffusions
ArXiv.org·2026Open Access
Phi-4 Technical Report
arXiv (Cornell University)·2024· 19 citedOpen Access
Long-time asymptotics of noisy SVGD outside the population limit
arXiv (Cornell University)·2024Open Access
Gaussian random field approximation via Stein's method with applications to wide random neural networks
Applied and Computational Harmonic Analysis·2024· 8 cited
A Strong Law of Large Numbers for Random Monotone Operators
Set-Valued and Variational Analysis·2023
Gaussian random field approximation via Stein's method with applications to wide random neural networks
arXiv (Cornell University)·2023Open Access
The probability flow ODE is provably fast
arXiv (Cornell University)·2023· 5 citedOpen Access
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
arXiv (Cornell University)·2023· 1 citedOpen Access
On the complexity of finding stationary points of smooth functions in one dimension
arXiv (Cornell University)·2022Open Access
Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms
Journal of Optimization Theory and Applications·2022· 19 citedOpen Access
Improved analysis for a proximal algorithm for sampling
arXiv (Cornell University)·2022· 3 citedOpen Access
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo
arXiv (Cornell University)·2022· 4 citedOpen Access
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
arXiv (Cornell University)·2021· 3 citedOpen Access
An Optimal Algorithm for Strongly Convex Minimization under Affine\n Constraints
arXiv (Cornell University)·2021· 2 citedOpen Access
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)·2021· 3 citedOpen Access
A fully stochastic primal-dual algorithm
Optimization Letters·2020· 1 citedOpen Access
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
arXiv (Cornell University)·2020· 6 citedOpen Access
Optimal and Practical Algorithms for Smooth and Strongly Convex\n Decentralized Optimization
arXiv (Cornell University)·2020· 14 citedOpen Access
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
arXiv (Cornell University)·2020· 15 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Pascal Bianchi(15), Peter Richtárik(13), Walid Hachem(13), Dmitry Kovalev(7), Anna Korba(6), Sinho Chewi(5), Michael Arbel(4), Arthur Gretton(4), Laurent Condat(4), Giulia Luise(4), Krishnakumar Balasubramanian(4), Konstantin Mishchenko(2), Sébastien Bubeck(2), Larry Goldstein(2), Nathan Ross(2), Sélim Chraibi(2), Khashayar Gatmiry(2), Sitan Chen(2), Marah Abdin(1), Jyoti Aneja(1)