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Editors: Min-Ling Zhang, Yung-Kyun Noh
Preface
; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:i-xv
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Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation
Hengyue Pan, Hui Jiang; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:1-16
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Limits of End-to-End Learning
Tobias Glasmachers; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:17-32
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification
Chih-Yang Hsia, Ya Zhu, Chih-Jen Lin; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:33-48
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:49-64
Instance Specific Discriminative Modal Pursuit: A Serialized Approach
Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:65-80
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A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
Zeke Xie, Issei Sato; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:81-96
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Distributionally Robust Groupwise Regularization Estimator
Jose Blanchet, Yang Kang; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:97-112
Multi-view Clustering with Adaptively Learned Graph
Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:113-128
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Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search
F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:129-144
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Probability Calibration Trees
Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:145-160
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Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:161-176
Locally Smoothed Neural Networks
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:177-191
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Data sparse nonparametric regression with $ε$-insensitive losses
Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:192-207
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices
Yi Li, Aidong Adam Ding, Jennifer Dy; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:208-223
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems
Jie Liu, Dong Wang, Yue Ding; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:224-239
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Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data
Wei Zhang, Said Kobeissi, Scott Tomko, Chris Challis; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:240-247
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ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks
Jichao Zhang, Fan Zhong, Gongze Cao, Xueying Qin; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:248-263
Deep Competitive Pathway Networks
Jia-Ren Chang, Yong-Sheng Chen; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:264-278
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Regret for Expected Improvement over the Best-Observed Value and Stopping Condition
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:279-294
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Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:295-310
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Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
Rongrong Zhang, Wei Deng, Michael Yu Zhu; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:311-326
Recognizing Art Style Automatically in Painting with Deep Learning
Adrian Lecoutre, Benjamin Negrevergne, Florian Yger; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:327-342
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One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault, Mael Chiapino; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:343-358
Computer Assisted Composition with Recurrent Neural Networks
Christian Walder, Dongwoo Kim; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:359-374
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Whitening-Free Least-Squares Non-Gaussian Component Analysis
Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:375-390
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources
Krista Longi, Teemu Pulkkinen, Arto Klami; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:391-406
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Magnitude-Preserving Ranking for Structured Outputs
Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:407-422
A Word Embeddings Informed Focused Topic Model
He Zhao, Lan Du, Wray Buntine; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:423-438
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Accumulated Gradient Normalization
Joeri R. Hermans, Gerasimos Spanakis, Rico Möckel; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:439-454
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
Sami Remes, Markus Heinonen, Samuel Kaski; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:455-470
Learning Deep Semantic Embeddings for Cross-Modal Retrieval
Cuicui Kang, Shengcai Liao, Zhen Li, Zigang Cao, Gang Xiong; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:471-486
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Pyramid Person Matching Network for Person Re-identification
Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:487-497
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Learning RBM with a DC programming Approach
Vidyadhar Upadhya, P. S. Sastry; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:498-513
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Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms
Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Fern; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:514-529
Nested LSTMs
Joel Ruben Antony Moniz, David Krueger; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:530-544
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On the Flatness of Loss Surface for Two-layered ReLU Networks
Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:545-560
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Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese
Yuanzhi Ke, Masafumi Hagiwara; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:561-573
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Recovering Probability Distributions from Missing Data
Jin Tian; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:574-589
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Attentive Path Combination for Knowledge Graph Completion
Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:590-605
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A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space
Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:606-621
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NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu; Proceedings of the Ninth Asian Conference on Machine Learning, PMLR 77:622-637
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