Seungjin Choi
18 papers · 2009–2022 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (7)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Keyword Champion
ποΈ
Keyword Collector
(89)
π
Trend Setter
π
Century Club
(18)
π₯
Unstoppable
(8)
π
Conference Pioneer
Conferences
AISTATS (5)
NIPS (4)
ICML (3)
ACML (2)
CVPR (2)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
bayesian inference
(5)
bayesian nonparametrics
(3)
variational inference
(3)
hierarchical clustering
(2)
posterior inference
(2)
gaussian process
(2)
few-shot learning
(2)
normalized random measure
(2)
mixture model
(2)
markov chain monte carlo
(2)
similarity search
(1)
anomaly detection
(1)
transfer learning
(1)
dirichlet process
(1)
representation learning
(1)
attention mechanism
(1)
probabilistic modeling
(1)
collaborative filtering
(1)
clustering analysis
(1)
approximate inference
(1)
Papers
Combinatorial Bayesian optimization with random mapping functions to convex polytopes
UAI 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
AISTATS 2022
Neural Complexity Measures
NIPS 2020
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
AISTATS 2019
Forward-Backward Generative Adversarial Networks for Anomaly Detection
ACML 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
ICML 2019
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
ICML 2018
Bayesian inference on random simple graphs with power law degree distributions
ICML 2017
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
NIPS 2016
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework
CVPR 2016
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
NIPS 2015
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility
AISTATS 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes
CVPR 2015
Scalable Variational Bayesian Matrix Factorization with Side Information
AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures
AISTATS 2014
Hierarchical Bayesian Matrix Factorization with Side Information
IJCAI 2013
Hierarchical Gaussian Process Regression
ACML 2010
Clustering sequence sets for motif discovery
NIPS 2009