Robert Bamler
14 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Triple Crown
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Conference Pioneer
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Deep Learning
(8)
Core Methods
(6)
Models
(6)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core AI
(3)
Learning Types
(3)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Optimization & Theory · Deep Learning
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
variational inference
(6)
variational autoencoder
(3)
word embedding
(2)
image compression
(2)
latent variable model
(2)
out-of-distribution detection
(2)
uncertainty quantification
(1)
matrix factorization
(1)
link prediction
(1)
question answering
(1)
marginal likelihood
(1)
laplace approximation
(1)
gaussian process
(1)
importance sampling
(1)
bayesian inference
(1)
likelihood ratio
(1)
rate distortion
(1)
kl divergence
(1)
information content
(1)
posterior covariance
(1)
Papers
Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence
UAI 2025
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
AISTATS 2025
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
ICML 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
NeurIPS 2024
Predictive, scalable and interpretable knowledge tracing on structured domains
ICLR 2024
Trading Information between Latents in Hierarchical Variational Autoencoders
ICLR 2023
Extreme Classification via Adversarial Softmax Approximation
ICLR 2020
Improving Inference for Neural Image Compression
NeurIPS 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data
NeurIPS 2020
Variational Bayesian Quantization
ICML 2020
Augmenting and Tuning Knowledge Graph Embeddings
UAI 2019
Improving Optimization for Models With Continuous Symmetry Breaking
ICML 2018
Dynamic Word Embeddings
ICML 2017
Perturbative Black Box Variational Inference
NeurIPS 2017