03.03.19 Learning papers

02-27-2019	Viable Dependency Parsing as Sequence Labeling by Michalina Strzyz et al
02-27-2019	Adaptive Hedging under Delayed Feedback by Alexander Korotin et al
02-26-2019	Variational Inference to Measure Model Uncertainty in Deep Neural Networks by Konstantin Posch et al
02-28-2019	Tensor-variate Mixture of Experts by Noémie Jaquier et al
02-27-2019	Semi-supervised GANs to Infer Travel Modes in GPS Trajectories by Ali Yazdizadeh et al
02-26-2019	ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs by Amir Gholami et al
02-26-2019	Training Variational Autoencoders with Buffered Stochastic Variational Inference by Rui Shu et al
02-26-2019	Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation by Antreas Antoniou et al
02-28-2019	Probabilistic smallest enclosing ball in high dimensions via subgradient sampling by Amer Krivošija et al
03-01-2019	Optimal Projection Guided Transfer Hashing for Image Retrieval by Ji Liu et al
02-28-2019	Gaussian Process Modulated Cox Processes under Linear Inequality Constraints by Andrés F. López-Lopera et al
02-27-2019	Single-frame Regularization for Temporally Stable CNNs by Gabriel Eilertsen et al
02-27-2019	Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning by Evgenii Tsymbalov et al
02-27-2019	Learning a Family of Optimal State Feedback Controllers by Christopher Iliffe Sprague et al
02-26-2019	EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs by Aldo Pareja et al
02-28-2019	One-Shot Federated Learning by Neel Guha et al
02-26-2019	On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives by Alexander D'Amour
02-26-2019	Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings by Tom Everitt et al
02-28-2019	A Review of Stochastic Block Models and Extensions for Graph Clustering by Clement Lee et al
02-28-2019	Catalyst.RL: A Distributed Framework for Reproducible RL Research by Sergey Kolesnikov et al
02-26-2019	Fully Distributed Bayesian Optimization with Stochastic Policies by Javier Garcia-Barcos et al
02-27-2019	Multiple Kernel Learning from UU-Statistics of Empirical Measures in the Feature Space by Masoud Badiei Khuzani et al
02-27-2019	TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces by Gaëlle Loosli
02-27-2019	Accelerating Self-Play Learning in Go by David J. Wu
02-27-2019	Adaptive Gaussian Copula ABC by Yanzhi Chen et al
02-27-2019	A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers by Imon Banerjee et al
02-26-2019	Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification by Pengfei Yang et al
02-28-2019	Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors by Ke Sun et al
02-27-2019	Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection by Sebastiaan Koning et al
02-26-2019	The Termination Critic by Anna Harutyunyan et al
02-26-2019	GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks by Ziyao Li et al
02-28-2019	Deep learning in bioinformatics: introduction, application, and perspective in big data era by Yu Li et al
02-28-2019	On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems by Mikel Elkano et al
02-26-2019	Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks by Joshua J. Michalenko et al
02-27-2019	Can learning from natural image denoising be used for seismic data interpolation? by Hao Zhang et al
02-26-2019	Nonlinear Approximation via Compositions by Zuowei Shen et al
02-26-2019	Online Learning with Continuous Ranked Probability Score by Vladimir V'yugin et al
02-26-2019	Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs by Rishabh Iyer et al
02-28-2019	On the convex geometry of blind deconvolution and matrix completion by Felix Krahmer et al
02-26-2019	Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces by Wouter van Heeswijk et al
02-26-2019	Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images by Changhee Han et al
02-28-2019	Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN by Ke Sun et al
02-28-2019	Model Agnostic High-Dimensional Error-in-Variable Regression by Anish Agarwal et al
02-26-2019	Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies by Tom Zahavy et al
02-26-2019	A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions by Feras A. Saad et al
02-26-2019	Multi-Scale Quasi-RNN for Next Item Recommendation by Chaoyue He et al
02-28-2019	Multi-Stage Self-Supervised Learning for Graph Convolutional Networks by Ke Sun et al
02-26-2019	Adaptive Gradient Methods with Dynamic Bound of Learning Rate by Liangchen Luo et al
02-28-2019	Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders by Moti Freiman et al
02-28-2019	SAFE ML: Surrogate Assisted Feature Extraction for Model Learning by Alicja Gosiewska et al
02-26-2019	A framework for information extraction from tables in biomedical literature by Nikola Milosevic et al
03-01-2019	KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos by Egor Lakomkin et al
02-28-2019	Virtual Adversarial Training on Graph Convolutional Networks in Node Classification by Ke Sun et al
02-28-2019	A Unified Neural Architecture for Instrumental Audio Tasks by Steven Spratley et al
02-27-2019	Continual Learning with Tiny Episodic Memories by Arslan Chaudhry et al
02-27-2019	Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning by Panagiotis Agrafiotis et al
02-27-2019	Degenerate Feedback Loops in Recommender Systems by Ray Jiang et al
02-26-2019	Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets by Homayun Afrabandpey et al
02-26-2019	Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? by Céline Hocquette et al
02-28-2019	From Visual to Acoustic Question Answering by Jerome Abdelnour et al
02-28-2019	Active Exploration in Markov Decision Processes by Jean Tarbouriech et al
02-26-2019	Fused Lasso for Feature Selection using Structural Information by Lixin Cui et al
03-01-2019	Non-linear ICA based on Cramer-Wold metric by Przemysław Spurek et al
03-01-2019	Model-Based Reinforcement Learning for Atari by Lukasz Kaiser et al
02-28-2019	Distributed Learning with Sublinear Communication by Jayadev Acharya et al
02-26-2019	A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing by Sirisha Rambhatla et al
02-27-2019	Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback by Yuko Kuroki et al
02-26-2019	Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks by Michele Tonutti et al
02-27-2019	Regularity Normalization: Constraining Implicit Space with Minimum Description Length by Baihan Lin
02-28-2019	Semantics of higher-order probabilistic programs with conditioning by Fredrik Dahlqvist et al
02-28-2019	Improving fraud prediction with incremental data balancing technique for massive data streams by Rafiq Ahmed Mohammed et al
02-28-2019	Meta Dynamic Pricing: Learning Across Experiments by Hamsa Bastani et al
02-28-2019	Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions by Rohan Kodialam
02-28-2019	A block-random algorithm for learning on distributed, heterogeneous data by Prakash Mohan et al
02-26-2019	Context Vectors are Reflections of Word Vectors in Half the Dimensions by Zhenisbek Assylbekov et al
02-26-2019	Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation by Anshul Thakur et al
02-26-2019	Graph Neural Processes: Towards Bayesian Graph Neural Networks by Andrew N. Carr et al
02-28-2019	Efficient Contextual Representation Learning Without Softmax Layer by Liunian Harold Li et al
02-28-2019	Scaling Matters in Deep Structured-Prediction Models by Aleksandr Shevchenko et al
03-01-2019	Machine learning in policy evaluation: new tools for causal inference by Noemi Kreif et al
03-01-2019	TamperNN: Efficient Tampering Detection of Deployed Neural Nets by Erwan Le Merrer et al
02-26-2019	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space by Zhiqing Sun et al
02-28-2019	Global Vectors for Node Representations by Robin Brochier et al
02-27-2019	Clustering by the local intrinsic dimension: the hidden structure of real-world data by Michele Allegra et al
02-26-2019	Implicit Kernel Learning by Chun-Liang Li et al
02-26-2019	Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States by Renee Obringer et al
02-26-2019	Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era by Nicolas Durrande et al
02-26-2019	Logarithmic Regret for parameter-free Online Logistic Regression by Joseph De Vilmarest et al
02-27-2019	Communication without Interception: Defense against Deep-Learning-based Modulation Detection by Muhammad Zaid Hameed et al
02-27-2019	High-Dimensional Bayesian Optimization with Manifold Gaussian Processes by Riccardo Moriconi et al
02-27-2019	A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing by Elizabeth Fons et al
03-01-2019	Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs by Yu Bai et al
02-28-2019	Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers by Hiva Ghanbari et al
02-26-2019	Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis by Mohammad Ali Javidian et al
02-26-2019	Online Framework for Demand-Responsive Stochastic Route Optimization by Inon Peled et al
02-26-2019	Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control by Jeremy Morton et al
02-27-2019	Robust Decision Trees Against Adversarial Examples by Hongge Chen et al
02-27-2019	Improving Missing Data Imputation with Deep Generative Models by Ramiro D. Camino et al
02-28-2019	Bounds on Bayes Factors for Binomial A/B Testing by Maciej Skorski
02-28-2019	Speeding up Deep Learning with Transient Servers by Shijian Li et al
03-01-2019	Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention by Eryu Xia et al
03-01-2019	Should All Temporal Difference Learning Use Emphasis? by Xiang Gu et al
02-27-2019	Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems by Daoud Burghal et al
03-01-2019	Multi-Object Representation Learning with Iterative Variational Inference by Klaus Greff et al
02-26-2019	Towards Efficient Data Valuation Based on the Shapley Value by Ruoxi Jia et al
02-26-2019	Deep Adversarial Network Alignment by Tyler Derr et al
02-26-2019	Efficient online learning with kernels for adversarial large scale problems by Rémi Jézéquel et al
02-26-2019	HexaGAN: Generative Adversarial Nets for Real World Classification by Uiwon Hwang et al
02-26-2019	Interaction-aware Factorization Machines for Recommender Systems by Fuxing Hong et al
02-26-2019	Function Space Particle Optimization for Bayesian Neural Networks by Ziyu Wang et al
02-28-2019	Learning to Plan via Neural Exploration-Exploitation Trees by Binghong Chen et al
02-27-2019	Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment by Anubha Pearline. S et al
02-27-2019	Towards Robust ResNet: A Small Step but A Giant Leap by Jingfeng Zhang et al
02-26-2019	Perturbed-History Exploration in Stochastic Multi-Armed Bandits by Branislav Kveton et al
02-26-2019	Neural Packet Classification by Eric Liang et al
02-27-2019	Learning Logistic Circuits by Yitao Liang et al
02-27-2019	Lipschitz Adaptivity with Multiple Learning Rates in Online Learning by Zakaria Mhammedi et al
02-26-2019	Disentangled Deep Autoencoding Regularization for Robust Image Classification by Zhenyu Duan et al
02-28-2019	Non-Parametric Adaptation for Neural Machine Translation by Ankur Bapna et al
03-01-2019	A Behavioral Approach to Visual Navigation with Graph Localization Networks by Kevin Chen et al
02-27-2019	An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models by Alexandra Chronopoulou et al
02-26-2019	Diagnosing Bottlenecks in Deep Q-learning Algorithms by Justin Fu et al
02-27-2019	Equi-normalization of Neural Networks by Pierre Stock et al
03-01-2019	Distributed Variational Bayesian Algorithms for Extended Object Tracking by Junhao Hua et al
02-27-2019	Alternating Synthetic and Real Gradients for Neural Language Modeling by Fangxin Shang et al
02-28-2019	A comparative evaluation of novelty detection algorithms for discrete sequences by Rémi Domingues et al
02-26-2019	Learning Vertex Convolutional Networks for Graph Classification by Lu Bai et al
02-26-2019	A Fully-Automatic Framework for Parkinsons Disease Diagnosis by Multi-Modality Images by Jiahang Xu et al
02-26-2019	A Feature Selection Based on Perturbation Theory by Javad Rahimipour Anaraki et al
02-26-2019	Functional Transparency for Structured Data: a Game-Theoretic Approach by Guang-He Lee et al
03-01-2019	Frequency Domain Transformer Networks for Video Prediction by Hafez Farazi et al
03-01-2019	Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment by Cedric Renggli et al
02-27-2019	Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities by Geewook Kim et al
02-27-2019	Provable Approximations for Constrained ℓpℓp Regression by Ibrahim Jubran et al
02-27-2019	Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions by Bilal Abu-Salih et al
02-27-2019	How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection by Wenhu Chen et al
02-28-2019	No Padding Please: Efficient Neural Handwriting Recognition by Gideon Maillette de Buy Wenniger et al
03-01-2019	A Deep DUAL-PATH Network for Improved Mammogram Image Processing by Heyi Li et al
02-27-2019	Stochastically Rank-Regularized Tensor Regression Networks by Arinbjörn Kolbeinsson et al
02-27-2019	Adversarial Attacks on Time Series by Fazle Karim et al
02-27-2019	Introspection Learning by Chris R. Serrano et al
02-27-2019	Insights into LSTM Fully Convolutional Networks for Time Series Classification by Fazle Karim et al
02-26-2019	Coloring Big Graphs with AlphaGoZero by Jiayi Huang et al