Michael Shvartsman
5 papers · 2015–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Clinical
(1)
Cognitive Science
(1)
Learning Paradigms
(1)
Keywords
gaussian process
(2)
cognitive modeling
(1)
decision making
(1)
preference learning
(1)
sequential decision
(1)
choice prediction
(1)
matrix-variate normal
(1)
bayesian active learning
(1)
bayesian optimization
(1)
response time
(1)
gaussian process classification
(1)
diffusion decision model
(1)
probabilistic model
(1)
latent variable model
(1)
acquisition function
(1)
semi-parametric model
(1)
level set estimation
(1)
look-ahead posterior
(1)
active sampling
(1)
dynamic context
(1)
Papers
Response Time Improves Gaussian Process Models for Perception and Preferences
UAI 2024
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
AAAI 2023
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
AISTATS 2022
Matrix-normal models for fMRI analysis
AISTATS 2018
A Theory of Decision Making Under Dynamic Context
NeurIPS 2015