Adam Golinski
8 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Core AI
(2)
Core Methods
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
amortized inference
(3)
variational inference
(3)
posterior distribution
(2)
importance sampling
(2)
bayesian inference
(2)
target function
(2)
self-supervised learning
(1)
nearest neighbor
(1)
uncertainty quantification
(1)
posterior approximation
(1)
density estimation
(1)
mutual information
(1)
intrinsic dimension
(1)
multi-view learning
(1)
probabilistic programming
(1)
model uncertainty
(1)
curse of dimensionality
(1)
monte carlo integration
(1)
likelihood estimation
(1)
coreference resolution
(1)
Papers
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
ICML 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
ACL 2025
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
ICML 2023
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
UAI 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
ICML 2022
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
JMLR 2020
Amortized Monte Carlo Integration
ICML 2019
Faithful Inversion of Generative Models for Effective Amortized Inference
NeurIPS 2018