Ari Pakman
9 papers · 2013–2025 · 3 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (24)
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Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Deep Learning
(2)
Core AI
(2)
Models
(2)
Probability
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Keywords
bayesian inference
(4)
markov chain monte carlo
(3)
posterior inference
(3)
posterior sampling
(2)
clustering
(1)
gibbs sampling
(1)
online learning
(1)
posterior estimation
(1)
gaussian process
(1)
importance sampling
(1)
partition function
(1)
mutual information
(1)
bayesian sampling
(1)
spike-and-slab prior
(1)
experimental design
(1)
maximum entropy
(1)
optimal experimental design
(1)
mcmc sampling
(1)
vision transformer
(1)
information theory
(1)
Papers
Bayesian Circular Regression with von Mises Quasi-Processes
AISTATS 2025
Clustering via Self-Supervised Diffusion
ICML 2025
Consistent Amortized Clustering via Generative Flow Networks
AISTATS 2025
Estimating the Unique Information of Continuous Variables
NeurIPS 2021
Neural Clustering Processes
ICML 2020
Stochastic Bouncy Particle Sampler
ICML 2017
Partition Functions from Rao-Blackwellized Tempered Sampling
ICML 2016
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
NeurIPS 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
NeurIPS 2013