Nima Anari
10 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23)
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Topic Evolution
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Keyword Collector
(64)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(7)
Optimization
(6)
Mathematics
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Computer Science
(2)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Foundations
(2)
Models
(2)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
determinantal point process
(3)
markov chain monte carlo
(2)
parallel sampling
(2)
diffusion model
(2)
spectral gap
(2)
profile maximum likelihood
(2)
multimodal learning
(1)
kl divergence
(1)
langevin dynamics
(1)
random walk
(1)
convex relaxation
(1)
kullback-leibler divergence
(1)
matrix approximation
(1)
low-rank matrix
(1)
map inference
(1)
preference learning
(1)
submodular maximization
(1)
mixing time
(1)
maximum a posteriori inference
(1)
reward learning
(1)
Papers
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
ICML 2025
Fast parallel sampling under isoperimetry
COLT 2024
Parallel Sampling of Diffusion Models
NeurIPS 2023
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization
COLT 2022
Learning Multimodal Rewards from Rankings
CoRL 2021
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood
COLT 2021
Instance Based Approximations to Profile Maximum Likelihood
NeurIPS 2020
Structured Robust Submodular Maximization: Offline and Online Algorithms
AISTATS 2019
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
NeurIPS 2018
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes
COLT 2016