Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior

ICML 2019 (full oral presentation) Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior * Fadhel Ayed, * Juho Lee, François Caron (* indicates equal contribution)  Bayesian nonparametric approaches, in particular...

Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior

ICML 2019 (full oral presentation) Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior* Fadhel Ayed, * Juho Lee, François Caron (* indicates equal contribution) Bayesian nonparametric approaches, in particular the Pitman-Yor p...

A Deep Learning Model for Real-time Mortality Prediction in Critically ill Children

Critical Care 2019 A Deep Learning Model for Real-time Mortality Prediction in Critically ill Children* Soo Yeon Kim, * Saehoon Kim, Joongbum Cho, Young Suh Kim, In Suk Sol, Youngchul Sung, Inhyeok Cho, Minseop Park, Haerin Jang, Yoon Hee Kim, ** Kyung Won Kim and Myung Hyun Sohn ...

A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure

AISTATS 2019 (oral presentation) A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structureJuho Lee, Lancelot James, Seungjin Choi, François Caron We consider a non-projective class of inhomogeneous random graph models with interpreta...

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

NeurIPS 2018 Uncertainty-Aware Attention for ReliableInterpretation and PredictionJay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwangjun Kim, Eunho Yang, Sung Ju Hwang Attention mechanism is effective in both focusing the deep learning models on relevant features and interpreting them. Howe...

TAEML: Task-Adaptive Ensemble of Meta-Learners

NeurIPS 2018 Workshop on Metalearning TAEML: Task-Adaptive Ensemble of Meta-LearnersMinseop Park, Saehoon Kim, Jungtaek Kim, Yanbin Liu, Seungjin Choi Most of meta-learning methods assume that a set of tasks in the meta-training phase is sampled from a single dataset. Thus when a new task ...

Stochastic Chebyshev Gradient Descent for Spectral Optimization

NeurIPS 2018 Stochastic Chebyshev Gradient Descent for Spectral OptimizationInsu Han, Haim Avron, Jinwoo Shin A large class of machine learning techniques requires the solution of optimization problems involving spectral functions of parametric matrices, e.g. log-determinant and nucle...

Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning

NeurIPS 2018 Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot LearningIYunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei Zhang Zero-Shot Learning (ZSL) is achieved via aligning the semantic relationships between the global image feature vector ...

Product Quantized Translation for Fast Nearest Neighbor Search

AAAI 2018 Product Quantized Translation for Fast Nearest Neighbor SearchYoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn We propose an effective filtering algorithm to eliminate nearest neighbor candidates using their distance lower bounds in nonlinear embedded spaces, con...

On the Optimal Bit Complexity of Circulant Binary Embedding

AAAI 2018 On the Optimal Bit Complexity of Circulant Binary EmbeddingSaehoon Kim, Jungtaek Kim, Seungjin Choi In this paper, to support promising empirical results of CBE, we extend the previous theoretical framework to address the optimal condition on the number of bits, achieving that CB...