Raaz Dwivedi
17 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(17)
Optimization & Theory
(14)
Mathematics & Optimization
(13)
Optimization
(8)
Core Methods
(7)
Bayesian & Probabilistic · Machine Learning
(5)
Mathematics
(5)
Probability
(5)
Learning Types
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Computer Science
(1)
Deep Learning
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Bayesian & Probabilistic · Artificial Intelligence
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Keywords
markov chain monte carlo
(7)
maximum mean discrepancy
(6)
kernel thinning
(5)
mixing time
(4)
kernel methods
(3)
reproducing kernel hilbert space
(3)
integration error
(3)
metropolis-adjusted langevin algorithm
(2)
log-concave sampling
(2)
quasi-monte carlo
(2)
distribution compression
(2)
convergence rate
(2)
langevin diffusion
(2)
gaussian mixture model
(2)
random walk
(1)
em algorithm
(1)
nearest neighbor
(1)
parameter estimation
(1)
convex optimization
(1)
transformer
(1)
Papers
Instability, Computational Efficiency and Statistical Accuracy
JMLR 2025
Low-Rank Thinning
ICML 2025
On adaptivity and minimax optimality of two-sided nearest neighbors
AISTATS 2025
Debiased Distribution Compression
ICML 2024
Kernel Thinning
JMLR 2024
Supervised Kernel Thinning
NeurIPS 2024
Compress Then Test: Powerful Kernel Testing in Near-linear Time
AISTATS 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
Distribution Compression in Near-Linear Time
ICLR 2022
Generalized Kernel Thinning
ICLR 2022
Kernel Thinning
COLT 2021
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
JMLR 2020
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
AISTATS 2020
Log-concave sampling: Metropolis-Hastings algorithms are fast
JMLR 2019
Fast MCMC Sampling Algorithms on Polytopes
JMLR 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast!
COLT 2018
Theoretical guarantees for EM under misspecified Gaussian mixture models
NeurIPS 2018