Adil SALIM
15 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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Conferences
NIPS (7)
COLT (2)
ICLR (2)
ICML (2)
AISTATS (1)
ALT (1)
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Keywords
gradient descent
(3)
bayesian inference
(3)
wasserstein gradient flow
(3)
wasserstein distance
(2)
log concave distribution
(2)
markov chain monte carlo
(2)
langevin dynamics
(2)
stein variational gradient descent
(2)
convergence guarantee
(2)
langevin algorithm
(2)
kernel methods
(2)
kl divergence
(2)
probability distribution
(2)
optimal algorithm
(2)
decentralized optimization
(1)
communication complexity
(1)
non-convex optimization
(1)
optimal transport
(1)
probability metrics
(1)
stochastic gradient
(1)
Papers
Long-time asymptotics of noisy SVGD outside the population limit
ICLR 2025
The probability flow ODE is provably fast
NIPS 2023
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
ICML 2023
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
ICLR 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
AISTATS 2022
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo
COLT 2022
Improved analysis for a proximal algorithm for sampling
COLT 2022
A Convergence Theory for SVGD in the Population Limit under Talagrandβs Inequality T1
ICML 2022
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
NIPS 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
NIPS 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
NIPS 2020
The Wasserstein Proximal Gradient Algorithm
NIPS 2020
Maximum Mean Discrepancy Gradient Flow
NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
NIPS 2019