Raaz Dwivedi
17 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π£ Hot Topic Early Bird
π
Academic Marathon
(7)
π§
Keyword Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(60)
π
Century Club
(17)
π₯
Unstoppable
(8)
π
Trend Setter
Conferences
JMLR (6)
AISTATS (3)
COLT (2)
ICLR (2)
ICML (2)
NIPS (2)
Top co-authors
Research topics
Keywords
markov chain monte carlo
(5)
mixing time
(4)
maximum mean discrepancy
(3)
kernel methods
(3)
reproducing kernel hilbert space
(2)
log-concave sampling
(2)
langevin diffusion
(2)
quasi-monte carlo
(2)
kernel thinning
(2)
integration error
(2)
gaussian mixture model
(2)
convergence rate
(2)
metropolis-adjusted langevin algorithm
(2)
mcmc sampling
(1)
gradient descent
(1)
em algorithm
(1)
random walk
(1)
parameter estimation
(1)
convex optimization
(1)
expectation maximization
(1)
Papers
Low-Rank Thinning
ICML 2025
Instability, Computational Efficiency and Statistical Accuracy
JMLR 2025
On adaptivity and minimax optimality of two-sided nearest neighbors
AISTATS 2025
Supervised Kernel Thinning
NIPS 2024
Kernel Thinning
JMLR 2024
Debiased Distribution Compression
ICML 2024
Compress Then Test: Powerful Kernel Testing in Near-linear Time
AISTATS 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
Generalized Kernel Thinning
ICLR 2022
Distribution Compression in Near-Linear Time
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
Theoretical guarantees for EM under misspecified Gaussian mixture models
NIPS 2018
Fast MCMC Sampling Algorithms on Polytopes
JMLR 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast!
COLT 2018