02.17.19 Learning papers

02-13-2019	On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis by Devavrat Shah et al
02-13-2019	On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects by Linshan Jiang et al
02-15-2019	Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic by Zhengwei Bai et al
02-12-2019	Gaussian Mean Field Regularizes by Limiting Learned Information by Julius Kunze et al
02-15-2019	Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI) by Janek Gröhl et al
02-12-2019	Minimax rates in outlier-robust estimation of discrete models by Amir-Hossein Bateni et al
02-15-2019	Network Offloading Policies for Cloud Robotics: a Learning-based Approach by Sandeep Chinchali et al
02-15-2019	A Convolutional Network for Sleep Stages Classification by Isaac Fernández-Varela et al
02-15-2019	AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices by Qian Lou et al
02-14-2019	Superposition of many models into one by Brian Cheung et al
02-14-2019	Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning by Zhiqian Chen et al
02-12-2019	Hyperbolic Disk Embeddings for Directed Acyclic Graphs by Ryota Suzuki et al
02-15-2019	The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric by Nathan Kallus et al
02-12-2019	A Domain Generalization Perspective on Listwise Context Modeling by Lin Zhu et al
02-12-2019	Capacity allocation analysis of neural networks: A tool for principled architecture design by Jonathan Donier
02-12-2019	Extended 2D Volumetric Consensus Hippocampus Segmentation by Diedre Carmo et al
02-12-2019	PAC-Bayes Analysis of Sentence Representation by Kento Nozawa et al
02-12-2019	Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring by Alexander F. Lapanowski et al
02-15-2019	Asymptotically exact data augmentation: models, properties and algorithms by Maxime Vono et al
02-12-2019	Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing by Mohammadreza Soltani et al
02-15-2019	Crime Analysis using Open Source Information by Sarwat Nizamani et al
02-15-2019	Lipschitz Generative Adversarial Nets by Zhiming Zhou et al
02-14-2019	Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification by Colin Stephen
02-12-2019	An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications by Yup Tan et al
02-15-2019	Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes by Ali Hirsa et al
02-15-2019	Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank by Qiao Zheng et al
02-12-2019	The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy by T. Tony Cai et al
02-12-2019	Thompson Sampling with Information Relaxation Penalties by Seungki Min et al
02-12-2019	Post-Data Augmentation to Improve Deep Pose Estimation of Extreme and Wild Motions by Kohei Toyoda et al
02-12-2019	Deep Reinforcement Learning from Policy-Dependent Human Feedback by Dilip Arumugam et al
02-12-2019	A Theory of Selective Prediction by Mingda Qiao et al
02-13-2019	On the Expressive Power of Kernel Methods and the Efficiency of Kernel Learning by Association Schemes by Pravesh K. Kothari et al
02-13-2019	The Odds are Odd: A Statistical Test for Detecting Adversarial Examples by Kevin Roth et al
02-13-2019	Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates by Hicham Janati et al
02-13-2019	Stochastic Gradient Descent Escapes Saddle Points Efficiently by Chi Jin et al
02-15-2019	Fast Task-Aware Architecture Inference by Efi Kokiopoulou et al
02-12-2019	Weighted Tensor Completion for Time-Series Causal Inference by Debmalya Mandal et al
02-15-2019	Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations by Dmitry Kobak et al
02-12-2019	The Complexity of Making the Gradient Small in Stochastic Convex Optimization by Dylan J. Foster et al
02-12-2019	Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise by Mehrdad Showkatbakhsh et al
02-15-2019	Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations by Yuhui Wang et al
02-13-2019	Differentially Private Learning of Geometric Concepts by Haim Kaplan et al
02-14-2019	ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization by Nhan H. Pham et al
02-12-2019	Rethinking Generative Coverage: A Pointwise Guaranteed Approach by Peilin Zhong et al
02-12-2019	Identity Crisis: Memorization and Generalization under Extreme Overparameterization by Chiyuan Zhang et al
02-14-2019	KINN: Incorporating Expert Knowledge in Neural Networks by Muhammad Ali Chattha et al
02-14-2019	Reinforcement Learning Without Backpropagation or a Clock by James Kostas et al
02-12-2019	Joint Training of Neural Network Ensembles by Andrew M. Webb et al
02-12-2019	Binary Stochastic Filtering: a Solution for Supervised Feature Selection and Neural Network Shape Optimization by Andrii Trelin et al
02-12-2019	Crowdsourced PAC Learning under Classification Noise by Shelby Heinecke et al
02-14-2019	Classifying Treatment Responders Under Causal Effect Monotonicity by Nathan Kallus
02-13-2019	Explainable Text-Driven Neural Network for Stock Prediction by Linyi Yang et al
02-13-2019	Wasserstein Barycenter Model Ensembling by Pierre Dognin et al
02-12-2019	Differential Description Length for Hyperparameter Selection in Machine Learning by Anders Host-Madsen et al
02-12-2019	Learning Ising Models with Independent Failures by Surbhi Goel et al
02-13-2019	Classifying Signals on Irregular Domains via Convolutional Cluster Pooling by Angelo Porrello et al
02-14-2019	Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples? by Cody Burkard et al
02-14-2019	Adversarially Approximated Autoencoder for Image Generation and Manipulation by Wenju Xu et al
02-12-2019	PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets by S. Deshpande et al
02-13-2019	Deep Divergence-Based Approach to Clustering by Michael Kampffmeyer et al
02-13-2019	Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection by Duong Nguyen et al
02-14-2019	Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration by Robert Kleinberg et al
02-12-2019	Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT by Bob D. de Vos et al
02-13-2019	Distributed Online Linear Regression by Deming Yuan et al
02-13-2019	Improving performance and inference on audio classification tasks using capsule networks by Royal Jain
02-13-2019	On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models by Zhanyu Ma et al
02-12-2019	Stable multi-instance learning visa causal inference by Weijia Zhang
02-12-2019	Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing by Alexander J. A. Ty et al
02-13-2019	A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting by Zhijian Li et al
02-13-2019	Probabilistic Neural Architecture Search by Francesco Paolo Casale et al
02-12-2019	Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior by Fadhel Ayed et al
02-12-2019	Verification Code Recognition Based on Active and Deep Learning by Dongliang Xu et al
02-14-2019	Competing Bandits: The Perils of Exploration under Competition by Guy Aridor et al
02-14-2019	A Broad Class of Discrete-Time Hypercomplex-Valued Hopfield Neural Networks by Fidelis Zanetti de Castro et al
02-13-2019	Multi-views Embedding for Cattle Re-identification by Luca Bergamini et al
02-13-2019	Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study by Jukka Hirvasniemi et al
02-14-2019	Generalisation in fully-connected neural networks for time series forecasting by Anastasia Borovykh et al
02-12-2019	ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero by Yuandong Tian et al
02-12-2019	Bayesian Online Detection and Prediction of Change Points by Diego Agudelo-España et al
02-12-2019	Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup by Devin Schwab et al
02-12-2019	Neural network models and deep learning - a primer for biologists by Nikolaus Kriegeskorte et al
02-12-2019	TensorSCONE: A Secure TensorFlow Framework using Intel SGX by Roland Kunkel et al
02-14-2019	GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images by Swetava Ganguli et al
02-12-2019	Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking by Swetava Ganguli et al
02-13-2019	Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps by Beomsu Kim et al
02-14-2019	Unsupervised Visuomotor Control through Distributional Planning Networks by Tianhe Yu et al
02-13-2019	ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning by Qianwen Wang et al
02-13-2019	How do infinite width bounded norm networks look in function space? by Pedro Savarese et al
02-12-2019	Infinite Mixture Prototypes for Few-Shot Learning by Kelsey R. Allen et al
02-12-2019	Maximum Likelihood Estimation for Learning Populations of Parameters by Ramya Korlakai Vinayak et al
02-13-2019	Sample-Optimal Parametric Q-Learning with Linear Transition Models by Lin F. Yang et al
02-14-2019	CrossNorm: Normalization for Off-Policy TD Reinforcement Learning by Aditya Bhatt et al
02-12-2019	Contrastive Variational Autoencoder Enhances Salient Features by Abubakar Abid et al
02-14-2019	Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy by Sebastian Ament et al
02-15-2019	SVM-based Deep Stacking Networks by Jingyuan Wang et al
02-13-2019	Do Subsampled Newton Methods Work for High-Dimensional Data? by Xiang Li et al
02-13-2019	Modeling default rate in P2P lending via LSTM by Yan Wang et al
02-13-2019	Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning by Gang Chen et al
02-12-2019	Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders by Jaeyoung Yoo et al
02-12-2019	ACTRCE: Augmenting Experience via Teachers Advice For Multi-Goal Reinforcement Learning by Harris Chan et al
02-13-2019	Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification by Yue Xu et al
02-13-2019	Efficient Cross-Validation for Semi-Supervised Learning by Yong Liu et al
02-12-2019	A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks by Batiste Le Bars et al
02-12-2019	Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications by Peifeng Yu et al
02-15-2019	Efficient Deep Learning of GMMs by Shirin Jalali et al
02-13-2019	Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? by Kyle Luther et al
02-12-2019	Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images by Ram Krishna Pandey et al
02-12-2019	Field of Interest Prediction for Computer-Aided Mitotic Count by Marc Aubreville et al
02-12-2019	Learning interpretable continuous-time models of latent stochastic dynamical systems by Lea Duncker et al
02-14-2019	Tractography and machine learning: Current state and open challenges by Philippe Poulin et al
02-13-2019	Anytime Tail Averaging by Nicolas Le Roux
02-15-2019	Translation Insensitivity for Deep Convolutional Gaussian Processes by Vincent Dutordoir et al
02-13-2019	An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting by Justice Amoh et al
02-12-2019	A Problem-Adaptive Algorithm for Resource Allocation by Xavier Fontaine et al
02-14-2019	Classification with unknown class conditional label noise on non-compact feature spaces by Henry W J Reeve et al
02-14-2019	WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection by Binhang Yuan et al
02-14-2019	Quick and Easy Time Series Generation with Established Image-based GANs by Eoin Brophy et al
02-12-2019	Extreme Tensoring for Low-Memory Preconditioning by Xinyi Chen et al
02-12-2019	Learning Theory and Support Vector Machines - a primer by Michael Banf
02-13-2019	Phaseless Low Rank Matrix Recovery and Subspace Tracking by Seyedehsara Nayer et al
02-14-2019	Fully Convolutional Networks for Text Classification by Jacob Anderson
02-14-2019	A Probabilistic framework for Quantum Clustering by Raúl V. Casaña-Eslava et al
02-15-2019	Learning to Adaptively Scale Recurrent Neural Networks by Hao Hu et al
02-13-2019	Federated Machine Learning: Concept and Applications by Qiang Yang et al
02-13-2019	On Many-to-Many Mapping Between Concordance Correlation Coefficient and Mean Square Error by Vedhas Pandit et al
02-12-2019	A Tunable Loss Function for Binary Classification by Tyler Sypherd et al
02-13-2019	Uniform convergence may be unable to explain generalization in deep learning by Vaishnavh Nagarajan et al
02-13-2019	Learning and Generalization for Matching Problems by Alon Cohen et al