02.03.19 Learning Papers

01-31-2019	Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective by Anirudh Vemula et al
01-30-2019	InfoBot: Transfer and Exploration via the Information Bottleneck by Anirudh Goyal et al
01-30-2019	On Correlation of Features Extracted by Deep Neural Networks by Babajide O. Ayinde et al
01-31-2019	A Theory of Regularized Markov Decision Processes by Matthieu Geist et al
01-29-2019	Differentially Private Markov Chain Monte Carlo by Mikko A. Heikkilä et al
01-29-2019	Self-Supervised Deep Image Denoising by Samuli Laine et al
01-30-2019	Learning Position Evaluation Functions Used in Monte Carlo Softmax Search by Harukazu Igarashi et al
01-31-2019	Unsupervised Text Style Transfer via Iterative Matching and Translation by Zhijing Jin et al
01-30-2019	HyperGAN: A Generative Model for Diverse, Performant Neural Networks by Neale Ratzlaff et al
01-31-2019	On the statistical evaluation of algorithmics computational experimentation with infeasible solutions by Iago A Carvalho
01-31-2019	Compressed Diffusion by Scott Gigante et al
01-29-2019	Stochastic Conditional Gradient Method for Composite Convex Minimization by Francesco Locatello et al
01-31-2019	Distributed Correlation-Based Feature Selection in Spark by Raul-Jose Palma-Mendoza et al
01-30-2019	The Wilderness Area Data Set: Adapting the Covertype data set for unsupervised learning by Richard Hugh Moulton et al
01-31-2019	ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization by Willie Neiswanger et al
01-31-2019	Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach by Raed Kontar et al
01-31-2019	Stochastic Recursive Variance-Reduced Cubic Regularization Methods by Dongruo Zhou et al
01-31-2019	Multi-dimensional Tensor Sketch by Yang Shi et al
01-30-2019	Generalized Tensor Models for Recurrent Neural Networks by Valentin Khrulkov et al
01-31-2019	Distributionally Robust Removal of Malicious Nodes from Networks by Sixie Yu et al
01-31-2019	Gaussian Conditional Random Fields for Classification by Andrija Petrović et al
01-31-2019	Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning by Kyungjae Lee et al
01-31-2019	An Optimization Framework for Task Sequencing in Curriculum Learning by Francesco Foglino et al
01-30-2019	An Evaluation of the Human-Interpretability of Explanation by Isaac Lage et al
01-31-2019	A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle by Tianyu Shi et al
01-29-2019	Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving by Meixin Zhu et al
01-30-2019	A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies by Adrián Bazaga et al
01-30-2019	Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications by Idris Jeelani et al
01-31-2019	Three-dimensional propagation and time-reversal of fluorescence images by Yichen Wu et al
01-29-2019	On the Expressive Power of Deep Fully Circulant Neural Networks by Alexandre Araujo et al
01-29-2019	Multi Agent Reinforcement Learning with Multi-Step Generative Models by Orr Krupnik et al
01-29-2019	RED-Attack: Resource Efficient Decision based Attack for Machine Learning by Faiq Khalid et al
01-29-2019	Evaluating Bregman Divergences for Probability Learning from Crowd by F. A. Mena et al
01-29-2019	Feature Concatenation Multi-view Subspace Clustering by Qinghai Zheng et al
01-29-2019	On Possibility and Impossibility of Multiclass Classification with Rejection by Chenri Ni et al
01-29-2019	Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation by Jongyeong Lee et al
01-31-2019	A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets by Amir Ahmad et al
01-29-2019	Differentiable Subset Sampling by Sang Michael Xie et al
01-29-2019	Spectral Multi-scale Community Detection in Temporal Networks with an Application by Zhana Kuncheva et al
01-29-2019	Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks by Alireza Nejadettehad et al
01-30-2019	Diversity Regularized Adversarial Learning by Babajide O. Ayinde et al
01-29-2019	Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems by Nil-Jana Akpinar et al
01-29-2019	Structural Material Property Tailoring Using Deep Neural Networks by Oshin Olesegun et al
01-29-2019	A Game Theoretical Error-Correction Framework for Secure Traffic-Sign Classification by Muhammed O. Sayin et al
01-29-2019	Enhanced Variational Inference with Dyadic Transformation by Sarin Chandy et al
02-01-2019	DANTE: Deep AlterNations for Training nEural networks by Sneha Kudugunta et al
01-29-2019	Improved Path-length Regret Bounds for Bandits by Sébastien Bubeck et al
01-31-2019	Compressing GANs using Knowledge Distillation by Angeline Aguinaldo et al
01-31-2019	Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models by Dinghan Shen et al
01-31-2019	On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models by Yancheng Yuan et al

01-29-2019	Predictive Maintenance in Photovoltaic Plants with a Big Data Approach by Alessandro Betti et al
02-01-2019	Dynamic fairness - Breaking vicious cycles in automatic decision making by Benjamin Paaßen et al
01-30-2019	GeNet: Deep Representations for Metagenomics by Mateo Rojas-Carulla et al
02-01-2019	Optimal Adversarial Attack on Autoregressive Models by Yiding Chen et al
01-29-2019	Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation by Ahsan S. Alvi et al
01-30-2019	Noise-tolerant fair classification by Alexandre Louis Lamy et al
01-29-2019	Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities by Ameni Trabelsi et al
01-29-2019	Private Q-Learning with Functional Noise in Continuous Spaces by Baoxiang Wang et al
01-29-2019	Detecting quantum speedup by quantum walk with convolutional neural networks by Alexey A. Melnikov et al
01-31-2019	Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling by Chuan Lu et al
01-31-2019	Agnostic Federated Learning by Mehryar Mohri et al
01-31-2019	Graph Resistance and Learning from Pairwise Comparisons by Julien M. Hendrickx et al
01-30-2019	Securing Fog-to-Things Environment Using Intrusion Detection System Based On Ensemble Learning by Poulmanogo Illy et al
02-01-2019	Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network by Ruihuan Du et al
01-31-2019	Lower Bounds for Smooth Nonconvex Finite-Sum Optimization by Dongruo Zhou et al
01-31-2019	Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model by Gi-Soo Kim et al
01-31-2019	VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis by Vineet Edupuganti et al
01-30-2019	Emerging Convolutions for Generative Normalizing Flows by Emiel Hoogeboom et al
01-29-2019	Hyperspherical Prototype Networks by Pascal Mettes et al
01-29-2019	Adversarial Examples Are a Natural Consequence of Test Error in Noise by Nic Ford et al
01-31-2019	Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization by Taira Tsuchiya et al
01-31-2019	Deep Learning for Inverse Problems: Bounds and Regularizers by Jaweria Amjad et al
01-31-2019	Functional Regularisation for Continual Learning using Gaussian Processes by Michalis K. Titsias et al
01-29-2019	Numerically Recovering the Critical Points of a Deep Linear Autoencoder by Charles G. Frye et al
01-29-2019	Computing Optimal Assignments in Linear Time for Graph Matching by Nils M. Kriege et al
01-29-2019	Generative Adversarial Networks for geometric surfaces prediction in injection molding by Pierre Nagorny et al
01-29-2019	Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem by Yang Lu et al
01-29-2019	Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation by Samuel Wiqvist et al
01-31-2019	Privacy Preserving Off-Policy Evaluation by Tengyang Xie et al
01-31-2019	Dating Documents using Graph Convolution Networks by Shikhar Vashishth et al
01-31-2019	Signal propagation in continuous approximations of binary neural networks by George Stamatescu et al
01-31-2019	Compressing Gradient Optimizers via Count-Sketches by Ryan Spring et al
01-31-2019	CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information by Shikhar Vashishth et al
01-31-2019	Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness by Li Xiao et al
01-29-2019	Towards Optimal Discrete Online Hashing with Balanced Similarity by Mingbao Lin et al
01-29-2019	A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning by Tal Ben-Nun et al
01-29-2019	Quality Measures for Speaker Verification with Short Utterances by Arnab Poddar et al
01-29-2019	Deep Neural Networks with Auxiliary-Model Regulated Gating for Resilient Multi-Modal Sensor Fusion by Chenye Zhao et al
01-30-2019	Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System by Joseph Paul Cohen et al
01-30-2019	Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search by Weiwen Jiang et al
01-31-2019	Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty by Muhammad Raza Khan et al
01-29-2019	Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series by Vivien Sainte Fare Garnot et al
01-29-2019	Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions by Hao Wang et al
01-29-2019	Discretizing Continuous Action Space for On-Policy Optimization by Yunhao Tang et al
01-30-2019	Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment by Dimche Kostadinov et al
02-01-2019	Tree-Sliced Approximation of Wasserstein Distances by Tam Le et al
01-31-2019	Learning Action Representations for Reinforcement Learning by Yash Chandak et al
01-30-2019	The Evolved Transformer by David R. So et al
01-31-2019	Learning and Evaluating General Linguistic Intelligence by Dani Yogatama et al
01-29-2019	On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks by Peter Langeberg et al
01-30-2019	A Bad Arm Existence Checking Problem by Koji Tabata et al
01-29-2019	An Investigation into Neural Net Optimization via Hessian Eigenvalue Density by Behrooz Ghorbani et al
01-29-2019	Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative by Miao Xu et al
01-29-2019	Simultaneous prediction of multiple outcomes using revised stacking algorithms by Li Xing et al
02-01-2019	Learning Differentiable Grammars for Continuous Data by AJ Piergiovanni et al
02-01-2019	The Hanabi Challenge: A New Frontier for AI Research by Nolan Bard et al
02-01-2019	Challenges with EM in application to weakly identifiable mixture models by Raaz Dwivedi et al
01-30-2019	Deep Archetypal Analysis by Sebastian Mathias Keller et al
02-01-2019	Generalized Sliced Wasserstein Distances by Soheil Kolouri et al
01-29-2019	Stochastic Gradient MCMC for Nonlinear State Space Models by Christopher Aicher et al
01-30-2019	Unsupervised Scalable Representation Learning for Multivariate Time Series by Jean-Yves Franceschi et al
02-01-2019	Sharp Analysis for Nonconvex SGD Escaping from Saddle Points by Cong Fang et al
01-30-2019	Unsupervised Prediction of Negative Health Events Ahead of Time by Anahita Hosseini et al
01-30-2019	A Generalized Language Model in Tensor Space by Lipeng Zhang et al
01-30-2019	Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition by Cleison Correia de Amorim et al
01-31-2019	Hyperbox based machine learning algorithms: A comprehensive survey by Thanh Tung Khuat et al
01-31-2019	Robust Inference via Generative Classifiers for Handling Noisy Labels by Kimin Lee et al
01-31-2019	Sequential Bayesian Detection of Spike Activities from Fluorescence Observations by Zhuangkun Wei et al
01-29-2019	MgNet: A Unified Framework of Multigrid and Convolutional Neural Network by Juncai He et al
01-29-2019	Sliced generative models by Szymon Knop et al
01-30-2019	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement by André Barreto et al
01-30-2019	Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception by Léni K. Le Goff et al
01-30-2019	Tensorized Embedding Layers for Efficient Model Compression by Valentin Khrulkov et al
01-30-2019	Optimal Minimal Margin Maximization with Boosting by Allan Grønlund et al
02-01-2019	Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation by Sahil Singla et al
01-30-2019	Go-Explore: a New Approach for Hard-Exploration Problems by Adrien Ecoffet et al
01-29-2019	Visualizing and Understanding Generative Adversarial Networks (Extended Abstract) by David Bau et al
01-29-2019	Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System by Muhammad Ammad-ud-din et al
01-30-2019	Benchmarking Classic and Learned Navigation in Complex 3D Environments by Dmytro Mishkin et al
02-01-2019	Policy Consolidation for Continual Reinforcement Learning by Christos Kaplanis et al
01-31-2019	New Tricks for Estimating Gradients of Expectations by Christian J. Walder et al
01-31-2019	AnomiGAN: Generative adversarial networks for anonymizing private medical data by Ho Bae et al
01-29-2019	Trust Region-Guided Proximal Policy Optimization by Yuhui Wang et al
01-29-2019	Robust Learning from Untrusted Sources by Nikola Konstantinov et al
01-29-2019	Semantic Redundancies in Image-Classification Datasets: The 10% You Dont Need by Vighnesh Birodkar et al
01-29-2019	Kernel embedded nonlinear observational mappings in the variational mapping particle filter by Manuel Pulido et al
01-29-2019	Geometric Matrix Completion with Deep Conditional Random Fields by Duc Minh Nguyen et al
01-29-2019	Harnessing GANs for Addition of New Classes in VSR by Yaman Kumar et al
01-29-2019	Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects by Ye Tu et al
02-01-2019	Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation by Yogesh Balaji et al
01-30-2019	A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance by Adi Shamir et al
01-30-2019	A Comparative Analysis of Expected and Distributional Reinforcement Learning by Clare Lyle et al
01-31-2019	Minimax Testing of Identity to a Reference Ergodic Markov Chain by Geoffrey Wolfer et al
01-31-2019	Learning Triggers for Heterogeneous Treatment Effects by Christopher Tran et al
01-30-2019	Resolution enhancement in scanning electron microscopy using deep learning by Kevin de Haan et al
01-30-2019	On the Consistency of Top-k Surrogate Losses by Forest Yang et al
01-30-2019	Natural Analysts in Adaptive Data Analysis by Tijana Zrnic et al
01-30-2019	Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee by Ming Lin et al
01-30-2019	Classifier Suites for Insider Threat Detection by David Noever
01-31-2019	Input Redundancy for Parameterized Quantum Circuits by Javier Gil Vidal et al
01-31-2019	End-to-End Probabilistic Inference for Nonstationary Audio Analysis by William J. Wilkinson et al
01-31-2019	Successor Features Support Model-based and Model-free Reinforcement Learning by Lucas Lehnert et al
01-30-2019	NAOMI: Non-Autoregressive Multiresolution Sequence Imputation by Yukai Liu et al
01-29-2019	Detection of Alzheimers Disease from MRI using Convolutional Neural Networks, Exploring Transfer Learning And BellCNN by GuruRaj Awate
01-29-2019	Multikernel activation functions: formulation and a case study by Simone Scardapane et al
01-29-2019	Representation Learning for Heterogeneous Information Networks via Embedding Events by Guoji Fu et al
01-29-2019	Latent Normalizing Flows for Discrete Sequences by Zachary M. Ziegler et al
01-29-2019	A Deep Learning Framework for Assessing Physical Rehabilitation Exercises by Y. Liao et al
02-01-2019	TF-Replicator: Distributed Machine Learning for Researchers by Peter Buchlovsky et al
02-01-2019	Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge by Indranil Chakraborty et al
02-01-2019	Multi-level Monte Carlo Variational Inference by Masahiro Fujisawa et al
02-01-2019	SCATGAN for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks by Andrawes Al Bahou et al
01-31-2019	Short-term forecasting of Italian gas demand by Emanuele Fabbiani et al
02-01-2019	Learnable Embedding Space for Efficient Neural Architecture Compression by Shengcao Cao et al
02-01-2019	Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design by Jonathan Ho et al
01-31-2019	Optimal mini-batch and step sizes for SAGA by Nidham Gazagnadou et al
01-29-2019	On the Transferability of Spectral Graph Filters by Ron Levie et al
01-30-2019	Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency by Ya Ju Fan et al
01-30-2019	Memory-Efficient Adaptive Optimization for Large-Scale Learning by Rohan Anil et al
01-29-2019	Rank-one Convexification for Sparse Regression by Alper Atamturk et al
01-29-2019	Limitations of Assessing Active Learning Performance at Runtime by Daniel Kottke et al
01-31-2019	High-dimensional Metric Combining for Non-coherent Molecular Signal Detection by Zhuangkun Wei et al
01-30-2019	End-to-end Learning for Early Classification of Time Series by Marc Rußwurm et al
01-29-2019	Approximating Spectral Clustering via Sampling: a Review by Nicolas Tremblay et al
01-29-2019	catch22: CAnonical Time-series CHaracteristics by Carl H Lubba et al
01-29-2019	A Push-Pull Layer Improves Robustness of Convolutional Neural Networks by Nicola Strisciuglio et al
01-31-2019	Generalized Dirichlet-process-means for f-separable distortion measures by Masahiro Kobayashi et al
01-29-2019	Throttling Malware Families in 2D by Mohamed Nassar et al
01-29-2019	Decentralized Online Learning: Take Benefits from Others Data without Sharing Your Own to Track Global Trend by Yawei Zhao et al
01-29-2019	Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN by Dongqi Han et al
01-29-2019	Improved Adversarial Learning for Fair Classification by L. Elisa Celis et al
01-31-2019	Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise by Mayank Sharma et al
02-01-2019	An Information-Theoretic Approach to Minimax Regret in Partial Monitoring by Tor Lattimore et al
01-31-2019	Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification by Victoria Mingote et al
02-01-2019	Understanding MCMC Dynamics as Flows on the Wasserstein Space by Chang Liu et al
01-31-2019	Your Gameplay Says it All: Modelling Motivation in Tom Clancys The Division by David Melhart et al
01-30-2019	Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization by Nicolas Gillis et al
01-30-2019	Noise2Self: Blind Denoising by Self-Supervision by Joshua Batson et al
01-31-2019	Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue by Kory W. Mathewson et al
01-31-2019	The Value Function Polytope in Reinforcement Learning by Robert Dadashi et al
01-31-2019	Improving SGD convergence by tracing multiple promising directions and estimating distance to minimum by Jarek Duda
01-30-2019	Online Pandoras Boxes and Bandits by Hossein Esfandiari et al
01-30-2019	Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning by Casey Chu et al
01-31-2019	Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification by Andrea Esuli et al
01-30-2019	Peer-to-peer Federated Learning on Graphs by Anusha Lalitha et al
01-29-2019	Rare geometries: revealing rare categories via dimension-driven statistics by Henry Kvinge et al
01-29-2019	Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM by Sookyung Kim et al
01-29-2019	Fair Online Advertising by L. Elisa Celis et al
02-01-2019	Combinatorial Bayesian Optimization using Graph Representations by Changyong Oh et al
02-01-2019	Crime Linkage Detection by Spatial-Temporal-Textual Point Processes by Shixiang Zhu et al
01-31-2019	Probabilistic Discriminative Learning with Layered Graphical Models by Yuesong Shen et al
01-29-2019	Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances by Gunwoong Park
01-31-2019	A Geometric Perspective on Optimal Representations for Reinforcement Learning by Marc G. Bellemare et al
01-30-2019	A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms by Yoshua Bengio et al
01-31-2019	Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures by William Romine et al
01-29-2019	Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference by Shun Liao et al
01-31-2019	Feature-Critic Networks for Heterogeneous Domain Generalization by Yiying Li et al
01-29-2019	Approximation of functions by neural networks by Andreas Thom
01-29-2019	Implicit Diversity in Image Summarization by L. Elisa Celis et al
01-30-2019	Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA by Jordan Awan et al