Dami Choi
7 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Optimization & Theory
(3)
Learning Types
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Methods
(1)
Models
(1)
Keywords
large language model
(2)
gradient estimation
(2)
latent variable model
(2)
probabilistic modeling
(1)
black-box optimization
(1)
bayesian inference
(1)
neural machine translation
(1)
inductive reasoning
(1)
data provenance
(1)
variance reduction
(1)
random search
(1)
control variate
(1)
surrogate gradient
(1)
predictive distribution
(1)
gumbel-max trick
(1)
numerical prediction
(1)
multilingual learning
(1)
evolutionary strategy
(1)
gradient direction
(1)
perturbation model
(1)
Papers
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
NeurIPS 2024
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
NeurIPS 2024
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
Tools for Verifying Neural Models' Training Data
NeurIPS 2023
Gradient Estimation with Stochastic Softmax Tricks
NeurIPS 2020
Guided evolutionary strategies: augmenting random search with surrogate gradients
ICML 2019
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
ICLR 2018