Choi, Seungjin

39 publications

AISTATS 2022 On Uncertainty Estimation by Tree-Based Surrogate Models in Sequential Model-Based Optimization Jungtaek Kim, Seungjin Choi

UAI 2022 Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim, Seungjin Choi, Minsu Cho

MLJ 2021 Bayesian Optimization with Approximate Set Kernels Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi

NeurIPS 2020 Neural Complexity Measures Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi

ECML-PKDD 2020 On Local Optimizers of Acquisition Functions in Bayesian Optimization Jungtaek Kim, Seungjin Choi

AISTATS 2019 A Bayesian Model for Sparse Graphs with Flexible Degree Distribution and Overlapping Community Structure Juho Lee, Lancelot James, Seungjin Choi, Francois Caron

ACML 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection Youngnam Kim, Seungjin Choi

ICML 2019 Set Transformer: A Framework for Attention-Based Permutation-Invariant Neural Networks Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee Whye Teh

ICML 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee, Seungjin Choi

AAAI 2018 On the Optimal Bit Complexity of Circulant Binary Embedding Saehoon Kim, Jungtaek Kim, Seungjin Choi

ICML 2017 Bayesian Inference on Random Simple Graphs with Power Law Degree Distributions Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi

AAAI 2017 Binary Embedding with Additive Homogeneous Kernels Saehoon Kim, Seungjin Choi

NeurIPS 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models Juho Lee, Lancelot F James, Seungjin Choi

CVPR 2016 Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi

AISTATS 2015 Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility Juho Lee, Seungjin Choi

CVPR 2015 Bilinear Random Projections for Locality-Sensitive Binary Codes Saehoon Kim, Seungjin Choi

WACV 2015 Near Duplicate Image Discovery on One Billion Images Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi

NeurIPS 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models Juho Lee, Seungjin Choi

AISTATS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures Juho Lee, Seungjin Choi

AISTATS 2014 Scalable Variational Bayesian Matrix Factorization with Side Information Yong-Deok Kim, Seungjin Choi

IJCAI 2013 Hierarchical Bayesian Matrix Factorization with Side Information Sunho Park, Yong-Deok Kim, Seungjin Choi

ICLR 2013 Learning Features with Structure-Adapting Multi-View Exponential Family Harmoniums Yoonseop Kang, Seungjin Choi

ICLR 2013 Regularized Discriminant Embedding for Visual Descriptor Learning Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi

AAAI 2013 Walking on Minimax Paths for k-NN Search Kye-Hyeon Kim, Seungjin Choi

ECCV 2012 Online Video Segmentation by Bayesian Split-Merge Clustering Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi

AAAI 2012 Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes Hyohyeong Kang, Seungjin Choi

ECCV 2012 Sequential Spectral Learning to Hash with Multiple Representations Saehoon Kim, Yoonseop Kang, Seungjin Choi

ECML-PKDD 2011 Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound Jiho Yoo, Seungjin Choi

IJCAI 2011 Matrix Co-Factorization on Compressed Sensing Jiho Yoo, Seungjin Choi

ECML-PKDD 2011 Restricted Deep Belief Networks for Multi-View Learning Yoonseop Kang, Seungjin Choi

ACML 2010 Hierarchical Gaussian Process Regression Sunho Park, Seungjin Choi

NeurIPS 2009 Clustering Sequence Sets for Motif Discovery Jong K. Kim, Seungjin Choi

AISTATS 2009 Group Nonnegative Matrix Factorization for EEG Classification Hyekyoung Lee, Seungjin Choi

AAAI 2008 Manifold Integration with Markov Random Walks Heeyoul Choi, Seungjin Choi, Yoonsuck Choe

IJCAI 2007 Dynamically Weighted Hidden Markov Model for Spam Deobfuscation Seunghak Lee, Iryoung Jeong, Seungjin Choi

ICML 2007 Neighbor Search with Global Geometry: A Minimax Message Passing Algorithm Kye-Hyeon Kim, Seungjin Choi

CVPR 2007 Nonnegative Tucker Decomposition Yong-Deok Kim, Seungjin Choi

ECML-PKDD 2005 U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani

ICML 2004 A Multiplicative Up-Propagation Algorithm Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh