Tomasz Kuśmierczyk
7 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
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Trend Setter
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Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Optimization & Theory
(4)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
bayesian inference
(2)
uncertainty quantification
(2)
model calibration
(2)
model selection
(1)
approximate inference
(1)
variational inference
(1)
bayesian learning
(1)
matrix factorization
(1)
hyperparameter optimization
(1)
causal effect estimation
(1)
class imbalance
(1)
gaussian process
(1)
bayesian decision theory
(1)
probabilistic programming
(1)
posterior approximation
(1)
probabilistic model
(1)
poisson factorization
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
bayesian neural network
(1)
Papers
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
EMNLP 2025
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
UAI 2025
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Uplift Modeling with High Class Imbalance
ACML 2021
Correcting Predictions for Approximate Bayesian Inference
AAAI 2020
Variational Bayesian Decision-making for Continuous Utilities
NeurIPS 2019