Artem Artemev
6 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Application Areas
(1)
Core Methods
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(4)
sparse approximation
(3)
inducing point
(2)
variational inference
(2)
conjugate gradient
(1)
bayesian optimization
(1)
thompson sampling
(1)
regret bound
(1)
state space model
(1)
memory efficiency
(1)
numerical stability
(1)
bayesian deep learning
(1)
convolutional kernel
(1)
compiler optimization
(1)
sparse gaussian process
(1)
cover tree
(1)
memory efficient
(1)
data flow analysis
(1)
log marginal likelihood
(1)
sparse variational
(1)
Papers
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
Memory safe computations with XLA compiler
NeurIPS 2022
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
ICML 2021
Bayesian Image Classification with Deep Convolutional Gaussian Processes
AISTATS 2020
Doubly Sparse Variational Gaussian Processes
AISTATS 2020