Calvin McCarter
4 papers · 2014–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Optimization
(1)
Probability
(1)
Research
(1)
Keywords
gaussian graphical model
(2)
probabilistic modeling
(1)
large-scale optimization
(1)
convex optimization
(1)
structure learning
(1)
cross-lingual embedding
(1)
sequential monte carlo
(1)
sparse regression
(1)
high-dimensional regression
(1)
sparse optimization
(1)
sparse structure learning
(1)
block coordinate descent
(1)
bayesian optimization
(1)
gaussian chain graph
(1)
sparse structure recovery
(1)
low-resource language
(1)
generative model
(1)
graphical model
(1)
antibody design
(1)
protein engineering
(1)
Papers
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
ICLR 2025
How Lexical is Bilingual Lexicon Induction?
NAACL 2024
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
AISTATS 2016
On Sparse Gaussian Chain Graph Models
NeurIPS 2014