ACML 2017

41 papers

A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings Sami Remes, Markus Heinonen, Samuel Kaski

A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors Zeke Xie, Issei Sato

A Study on Trust Region Update Rules in Newton Methods for Large-Scale Linear Classification Chih-Yang Hsia, Ya Zhu, Chih-Jen Lin

A Word Embeddings Informed Focused Topic Model He Zhao, Lan Du, Wray Buntine

Accumulated Gradient Normalization Joeri R. Hermans, Gerasimos Spanakis, Rico Möckel

Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data Wei Zhang, Said Kobeissi, Scott Tomko, Chris Challis

Attentive Path Combination for Knowledge Graph Completion Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang

Computer Assisted Composition with Recurrent Neural Networks Christian Walder, Dongwoo Kim

Data Sparse Nonparametric Regression with $ε$-Insensitive Losses Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc

Deep Competitive Pathway Networks Jia-Ren Chang, Yong-Sheng Chen

Distributionally Robust Groupwise Regularization Estimator Jose Blanchet, Yang Kang

Instance Specific Discriminative Modal Pursuit: A Serialized Approach Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang

Learning Convolutional Neural Networks Using Hybrid Orthogonal Projection and Estimation Hengyue Pan, Hui Jiang

Learning Deep Semantic Embeddings for Cross-Modal Retrieval Cuicui Kang, Shengcai Liao, Zhen Li, Zigang Cao, Gang Xiong

Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

Learning RBM with a DC Programming Approach Vidyadhar Upadhya, P. S. Sastry

Limits of End-to-End Learning Tobias Glasmachers

Locally Smoothed Neural Networks Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng

Magnitude-Preserving Ranking for Structured Outputs Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu

Mini-Batch Block-Coordinate Based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma

Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Fern

Multi-View Clustering with Adaptively Learned Graph Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi

Nested LSTMs Joel Ruben Antony Moniz, David Krueger

NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu

On the Flatness of Loss Surface for Two-Layered ReLU Networks Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan

One Class Splitting Criteria for Random Forests Nicolas Goix, Nicolas Drougard, Romain Brault, Mael Chiapino

PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems Jie Liu, Dong Wang, Yue Ding

Probability Calibration Trees Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

Pyramid Person Matching Network for Person Re-Identification Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li

Radical-Level Ideograph Encoder for RNN-Based Sentiment Analysis of Chinese and Japanese Yuanzhi Ke, Masafumi Hagiwara

Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices Yi Li, Aidong Adam Ding, Jennifer Dy

Recognizing Art Style Automatically in Painting with Deep Learning Adrian Lecoutre, Benjamin Negrevergne, Florian Yger

Recovering Probability Distributions from Missing Data Jin Tian

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Scale-Invariant Recognition by Weight-Shared CNNs in Parallel Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara

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

Semi-Supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources Krista Longi, Teemu Pulkkinen, Arto Klami

ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks Jichao Zhang, Fan Zhong, Gongze Cao, Xueying Qin

Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications Rongrong Zhang, Wei Deng, Michael Yu Zhu

Whitening-Free Least-Squares Non-Gaussian Component Analysis Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama