Nikita Kotelevskii
8 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Paradigms · Machine Learning
(3)
Core AI
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Keywords
federated learning
(4)
uncertainty quantification
(4)
out-of-distribution detection
(2)
conformal prediction
(2)
epistemic uncertainty
(2)
markov chain monte carlo
(2)
data heterogeneity
(2)
personalized model
(2)
aleatoric uncertainty
(2)
bayesian estimation
(1)
nonparametric estimation
(1)
probability calibration
(1)
annealed importance sampling
(1)
latent variable model
(1)
uncertainty-aware aggregation
(1)
variational autoencoder
(1)
confidence set
(1)
auroc
(1)
image classification
(1)
client heterogeneity
(1)
Papers
Adaptive Cumulative Mass Calibration with Conformal Prediction
UAI 2026
Who to Trust? Aggregating Client Predictions in Federated Distillation.
UAI 2026
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
ICLR 2025
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
IJCAI 2024
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
FedPop: A Bayesian Approach for Personalised Federated Learning
NeurIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
NeurIPS 2022
Monte Carlo Variational Auto-Encoders
ICML 2021