Luke Ong
10 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Renaissance Researcher (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5)
π
Cross-Pollinator
(8)
π
Academic Marathon
(5)
π
Keyword Champion
(2)
π
Grand Slam
Conferences
AISTATS (2)
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
probabilistic programming
(5)
bayesian inference
(4)
posterior inference
(2)
markov chain monte carlo
(2)
variational inference
(2)
nonparametric model
(2)
bayesian model averaging
(1)
variance reduction
(1)
stochastic process
(1)
nonparametric inference
(1)
hamiltonian monte carlo
(1)
reparameterization gradient
(1)
vision-language model
(1)
average reward
(1)
mechanistic interpretability
(1)
sampling algorithm
(1)
non-differentiable model
(1)
reward machine
(1)
probabilistic program
(1)
path weighting
(1)
Papers
Conformal Prediction Meets Long-tail Classification
AAAI 2026
Spectra: A Mechanistic Interpretability Library for Vision-Language Models
ACL 2026
Towards Interpreting Visual Information Processing in Vision-Language Models
ICLR 2025
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards
NIPS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
AISTATS 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
AISTATS 2024
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
Nonparametric Involutive Markov Chain Monte Carlo
ICML 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
UAI 2022
Nonparametric Hamiltonian Monte Carlo
ICML 2021