2019.06.23 Learning papers

06-19-2019	XLNet: Generalized Autoregressive Pretraining for Language Understanding by Zhilin Yang et al
06-18-2019	Information matrices and generalization by Valentin Thomas et al
06-19-2019	The Functional Neural Process by Christos Louizos et al
06-19-2019	Unsupervised State Representation Learning in Atari by Ankesh Anand et al
06-21-2019	Simplex2Vec embeddings for community detection in simplicial complexes by Jacob Charles Wright Billings et al
06-18-2019	Differentiable probabilistic models of scientific imaging with the Fourier slice theorem by Karen Ullrich et al
06-19-2019	Evaluating Protein Transfer Learning with TAPE by Roshan Rao et al
06-20-2019	The Limited Multi-Label Projection Layer by Brandon Amos et al
06-21-2019	Learning as the Unsupervised Alignment of Conceptual Systems by Brett D. Roads et al
06-18-2019	Unsupervised machine learning to analyse city logistics through Twitter by Simon Tamayo et al
06-19-2019	Improving the robustness of ImageNet classifiers using elements of human visual cognition by A. Emin Orhan et al
06-18-2019	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss by Kaidi Cao et al
06-18-2019	Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing by Lei Lei et al
06-19-2019	Inherent Tradeoffs in Learning Fair Representation by Han Zhao et al
06-20-2019	Efficient data augmentation using graph imputation neural networks by Indro Spinelli et al
06-18-2019	Parameterized quantum circuits as machine learning models by Marcello Benedetti et al
06-19-2019	Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects by Gabriel Grand et al
06-19-2019	PyRobot: An Open-source Robotics Framework for Research and Benchmarking by Adithyavairavan Murali et al
06-19-2019	SwiftNet: Using Graph Propagation as Meta-knowledge to Search HighlyvRepresentative Neural Architectures by Hsin-Pai et al
06-20-2019	Preprocessing Methods and Pipelines of Data Mining: An Overview by Canchen Li
06-19-2019	Pre-Training with Whole Word Masking for Chinese BERT by Yiming Cui et al
06-20-2019	We Need No Pixels: Video Manipulation Detection Using Stream Descriptors by David Güera et al
06-20-2019	Exploring Model-based Planning with Policy Networks by Tingwu Wang et al
06-21-2019	Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices by Manish Raghavan et al
06-20-2019	Clustering and Classification Networks by Jin-mo Choi
06-18-2019	Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study by Cam Linke et al
06-19-2019	Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss by Eskil Jörgensen et al
06-19-2019	Training on test data: Removing near duplicates in Fashion-MNIST by Christopher Geier
06-20-2019	Data Cleansing for Models Trained with SGD by Satoshi Hara et al
06-21-2019	Backpropagation-Friendly Eigendecomposition by Wei Wang et al
06-20-2019	Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors by Gauri Jagatap et al
06-20-2019	Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets by Fang-Chieh Chou et al
06-21-2019	Universal Approximation of Input-Output Maps by Temporal Convolutional Nets by Joshua Hanson et al
06-20-2019	Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks by Adam Byerly et al
06-18-2019	Learning with Partially Ordered Representations by Jane Chandlee et al
06-20-2019	Few-Shot Sequence Labeling with Label Dependency Transfer by Yutai Hou et al
06-19-2019	Batch Active Learning Using Determinantal Point Processes by Erdem Bıyık et al
06-18-2019	Approximation power of random neural networks by Bolton Bailey et al
06-19-2019	Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification by Youngmoon Jung et al
06-18-2019	Expressing Visual Relationships via Language by Hao Tan et al
06-18-2019	Joint Pruning on Activations and Weights for Efficient Neural Networks by Qing Yang et al
06-20-2019	Multiple-Identity Image Attacks Against Face-based Identity Verification by Jerone T. A. Andrews et al
06-20-2019	An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning by Le Thanh Nguyen-Meidine et al
06-19-2019	Minimum Stein Discrepancy Estimators by Alessandro Barp et al
06-20-2019	Neural Topographic Factor Analysis for fMRI Data by Eli Sennesh et al
06-20-2019	Probabilistic Logic Neural Networks for Reasoning by Meng Qu et al
06-19-2019	Calibrated Model-Based Deep Reinforcement Learning by Ali Malik et al
06-19-2019	SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing by Haonan Qiu et al
06-21-2019	A Fourier Perspective on Model Robustness in Computer Vision by Dong Yin et al
06-19-2019	Data Interpolating Prediction: Alternative Interpretation of Mixup by Takuya Shimada et al
06-18-2019	Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach by Ulrich Aïvodji et al
06-19-2019	Wasserstein Adversarial Imitation Learning by Huang Xiao et al
06-19-2019	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates by Hugo Penedones et al
06-20-2019	Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM by Ashesh Chattopadhyay et al
06-21-2019	Shaping Belief States with Generative Environment Models for RL by Karol Gregor et al
06-19-2019	Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations by Guo-Jun Qi
06-18-2019	Robust Reinforcement Learning for Continuous Control with Model Misspecification by Daniel J. Mankowitz et al
06-21-2019	Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions by Joey Hong et al
06-19-2019	GEAR: Geometry-Aware R\enyi Information by Jose Gallego et al
06-18-2019	Barron Spaces and the Compositional Function Spaces for Neural Network Models by Weinan E et al
06-18-2019	Supervised Hierarchical Clustering with Exponential Linkage by Nishant Yadav et al
06-19-2019	Multi-resolution Multi-task Gaussian Processes by Oliver Hamelijnck et al
06-19-2019	Back to Simplicity: How to Train Accurate BNNs from Scratch? by Joseph Bethge et al
06-20-2019	Automated crater shape retrieval using weakly-supervised deep learning by Mohamad Ali-Dib et al
06-19-2019	Solver Recommendation For Transport Problems in Slabs Using Machine Learning by Jinzhao Chen et al
06-18-2019	Directed Exploration for Reinforcement Learning by Zhaohan Daniel Guo et al
06-18-2019	Multimodal Abstractive Summarization for How2 Videos by Shruti Palaskar et al
06-19-2019	Scalable and Differentially Private Distributed Aggregation in the Shuffled Model by Badih Ghazi et al
06-18-2019	RadGrad: Active learning with loss gradients by Paul Budnarain et al
06-19-2019	Jaccard Filtration and Stable Paths in the Mapper by Dustin L. Arendt et al
06-19-2019	Learning Compressed Sentence Representations for On-Device Text Processing by Dinghan Shen et al
06-21-2019	Disentangled Skill Embeddings for Reinforcement Learning by Janith C. Petangoda et al
06-19-2019	XNAS: Neural Architecture Search with Expert Advice by Niv Nayman et al
06-19-2019	Experience Replay Optimization by Daochen Zha et al
06-18-2019	Attention Guided Graph Convolutional Networks for Relation Extraction by Zhijiang Guo et al
06-21-2019	A Comparative Survey of Recent Natural Language Interfaces for Databases by Katrin Affolter et al
06-18-2019	Key Instance Selection for Unsupervised Video Object Segmentation by Donghyeon Cho et al
06-20-2019	A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning by Majid Moghadam et al
06-18-2019	Dataless training of generative models for the inverse design of metasurfaces by Jiaqi Jiang et al
06-18-2019	A Conditional Random Field Model for Context Aware Cloud Detection in Sky Images by Vijai T. Jayadevan et al
06-20-2019	Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns by Shanka Subhra Mondal et al
06-19-2019	PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning by Guangyao Zhai et al
06-21-2019	Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction by Fengda Zhu et al
06-20-2019	Deep Learning in the Automotive Industry: Recent Advances and Application Examples by Kanwar Bharat Singh et al
06-20-2019	Meta-learning of textual representations by Jorge Madrid et al
06-20-2019	Deep Leakage from Gradients by Ligeng Zhu et al
06-21-2019	Learning Bilingual Word Embeddings Using Lexical Definitions by Weijia Shi et al
06-21-2019	First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise by Thanh Huy Nguyen et al
06-20-2019	Adversarial Learning for Improved Onsets and Frames Music Transcription by Jong Wook Kim et al
06-18-2019	RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration by Brahma S. Pavse et al
06-21-2019	Connectivity-Optimized Representation Learning via Persistent Homology by Christoph Hofer et al
06-18-2019	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning by Fan-Yun Sun et al
06-19-2019	Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield by Dou Goodman et al
06-19-2019	SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance by Rongfang Wang et al
06-20-2019	Max-Plus Matching Pursuit for Deterministic Markov Decision Processes by Francis Bach
06-19-2019	Control What You Can: Intrinsically Motivated Task-Planning Agent by Sebastian Blaes et al
06-20-2019	Sparse Spectrum Gaussian Process for Bayesian Optimisation by Ang Yang et al
06-19-2019	Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies by Kaiqing Zhang et al
06-19-2019	Explanations can be manipulated and geometry is to blame by Ann-Kathrin Dombrowski et al
06-20-2019	A Deep Reinforcement Learning Approach for Global Routing by Haiguang Liao et al
06-20-2019	Coresets for Clustering with Fairness Constraints by Lingxiao Huang et al
06-18-2019	Locally Accelerated Conditional Gradients by Alejandro Carderera et al
06-19-2019	Global Adversarial Attacks for Assessing Deep Learning Robustness by Hanbin Hu et al
06-20-2019	Stochastic One-Sided Full-Information Bandit by Haoyu Zhao et al
06-20-2019	Quantum-Inspired Support Vector Machine by Chen Ding et al
06-21-2019	Modeling and Forecasting Art Movements with CGANs by Edoardo Lisi et al
06-20-2019	The trade-off between long-term memory and smoothness for recurrent networks by Antônio H. Ribeiro et al
06-20-2019	Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning by Ravichandra Addanki et al
06-18-2019	Second-Order Semantic Dependency Parsing with End-to-End Neural Networks by Xinyu Wang et al
06-19-2019	QXplore: Q-learning Exploration by Maximizing Temporal Difference Error by Riley Simmons-Edler et al
06-18-2019	DISCO: Influence Maximization Meets Network Embedding and Deep Learning by Hui Li et al
06-18-2019	Learning to Plan Hierarchically from Curriculum by Philippe Morere et al
06-18-2019	Sample-efficient Adversarial Imitation Learning from Observation by Faraz Torabi et al
06-18-2019	Hill Climbing on Value Estimates for Search-control in Dyna by Yangchen Pan et al
06-20-2019	Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks by Roberto Martín-Martín et al
06-20-2019	Near-optimal Reinforcement Learning using Bayesian Quantiles by Aristide Tossou et al
06-19-2019	BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning by Andreas Kirsch et al
06-18-2019	Inverting Deep Generative models, One layer at a time by Qi Lei et al
06-19-2019	Learning Patient Engagement in Care Management: Performance vs. Interpretability by Subhro Das et al
06-20-2019	Limitations of Lazy Training of Two-layers Neural Networks by Behrooz Ghorbani et al
06-21-2019	Be Consistent! Improving Procedural Text Comprehension using Label Consistency by Xinya Du et al
06-19-2019	Disentangling feature and lazy learning in deep neural networks: an empirical study by Mario Geiger et al
06-19-2019	Learning Directed Graphical Models from Gaussian Data by Katherine Fitch
06-18-2019	A Unified Speaker Adaptation Method for Speech Synthesis using Transcribed and Untranscribed Speech with Backpropagation by Hieu-Thi Luong et al
06-20-2019	One-vs-All Models for Asynchronous Training: An Empirical Analysis by Rahul Gupta et al
06-18-2019	Bicameral Structuring and Synthetic Imagery for Jointly Predicting Instance Boundaries and Nearby Occlusions from a Single Image by Matthieu Grard et al
06-19-2019	When to Trust Your Model: Model-Based Policy Optimization by Michael Janner et al
06-19-2019	Generative Restricted Kernel Machines by Arun Pandey et al
06-21-2019	Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information by Maya Okawa et al
06-19-2019	Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net by Rongfang Wang et al
06-18-2019	Joint Learning of Geometric and Probabilistic Constellation Shaping by Maximilian Stark et al
06-20-2019	Intrinsic Weight Learning Approach for Multi-view Clustering by Feiping Nie et al
06-20-2019	Cooperative Lane Changing via Deep Reinforcement Learning by Guan Wang et al
06-19-2019	Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning by Maizura Mokhtar et al
06-19-2019	Discovery of Physics from Data: Universal Laws and Discrepancy Models by Brian de Silva et al
06-18-2019	Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn) by Sebastien Lugan et al
06-20-2019	Latent Distribution Assumption for Unbiased and Consistent Consensus Modelling by Valentina Fedorova et al
06-18-2019	Poisoning Attacks with Generative Adversarial Nets by Luis Muñoz-González et al
06-20-2019	Submodular Batch Selection for Training Deep Neural Networks by K J Joseph et al
06-18-2019	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial by Shaosheng Cao et al
06-18-2019	Convolutional neural network models for cancer type prediction based on gene expression by Milad Mostavi et al
06-20-2019	Active Linear Regression by Xavier Fontaine et al
06-20-2019	Boosting for Dynamical Systems by Naman Agarwal et al
06-21-2019	Theory of the Frequency Principle for General Deep Neural Networks by Tao Luo et al
06-18-2019	Model Explanations under Calibration by Rishabh Jain et al
06-19-2019	Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation by Andrés Hoyos-Idrobo
06-18-2019	Gradient Dynamics of Shallow Univariate ReLU Networks by Francis Williams et al
06-18-2019	Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models by Xinwei Zhang et al

06-21-2019	Adaptive Learning Rate Clipping Stabilizes Learning by Jeffrey M. Ede et al
06-19-2019	Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders by Yin-Jyun Luo et al
06-19-2019	Automatic Source Code Summarization with Extended Tree-LSTM by Yusuke Shido et al
06-21-2019	Entropic Risk Measure in Policy Search by David Nass et al
06-20-2019	More Efficient Policy Learning via Optimal Retargeting by Nathan Kallus
06-21-2019	Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling by Yuan-Hao Yi et al
06-20-2019	QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach by Fatima Haouari et al
06-19-2019	Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI by Dushyant Sahoo et al
06-20-2019	Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian by Angelica I. Aviles-Rivero et al
06-19-2019	LIA: Latently Invertible Autoencoder with Adversarial Learning by Jiapeng Zhu et al
06-18-2019	Towards White-box Benchmarks for Algorithm Control by André Biedenkapp et al
06-18-2019	Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation by Marius Arvinte et al
06-18-2019	On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks by Masoumeh Shafieinejad et al
06-20-2019	A Graph Auto-Encoder for Attributed Network Embedding by Keting Cen et al
06-20-2019	Accelerating Mini-batch SARAH by Step Size Rules by Zhuang Yang et al
06-19-2019	Compressive Closeness in Networks by Hamidreza Mahyar et al
06-20-2019	Lets Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation by Tommaso Cavallari et al
06-18-2019	Safe Testing by Peter Grünwald et al
06-20-2019	When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework by Navid Naderializadeh et al
06-21-2019	Power and limitations of conformal martingales by Vladimir Vovk
06-19-2019	Adversarial Task-Specific Privacy Preservation under Attribute Attack by Han Zhao et al
06-19-2019	Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks by Xiaojing Zhang et al
06-18-2019	Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning by Tadashi Kozuno et al
06-19-2019	Convergence of Adversarial Training in Overparametrized Networks by Ruiqi Gao et al
06-20-2019	Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets by Arnak S. Dalalyan et al
06-21-2019	Coupled Graph Neural Networks for Predicting the Popularity of Online Content by Qi Cao et al
06-21-2019	Revised Progressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning by Xin Huang et al
06-21-2019	Learning from weakly dependent data under Dobrushins condition by Yuval Dagan et al
06-19-2019	Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes by Dixin Luo et al
06-18-2019	The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation by Jingfeng Wu et al
06-20-2019	Bayesian Optimisation over Multiple Continuous and Categorical Inputs by Binxin Ru et al
06-18-2019	Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles by Siddhartha Jain et al
06-19-2019	A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting by Yue Gu et al
06-19-2019	A unified view on differential privacy and robustness to adversarial examples by Rafael Pinot et al
06-18-2019	Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data by Biobele J. Brown et al
06-19-2019	Variational Gaussian Processes with Signature Covariances by Csaba Toth et al
06-19-2019	Sequential Experimental Design for Transductive Linear Bandits by Tanner Fiez et al
06-20-2019	Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications by David Ruhe et al
06-20-2019	Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging by Jeong Choi et al
06-21-2019	Randomized Exploration in Generalized Linear Bandits by Branislav Kveton et al
06-19-2019	Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents by Zalán Borsos et al
06-18-2019	Identification and Estimation of Hierarchical Latent Attribute Models by Yuqi Gu et al
06-18-2019	Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond by Xuechen Li et al
06-18-2019	Model selection for high-dimensional linear regression with dependent observations by Ching-Kang Ing
06-18-2019	A Weakly Supervised Learning Based Clustering Framework by Mustafa Umit Oner et al
06-20-2019	Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment by Isabela Albuquerque et al
06-20-2019	ID3 Learns Juntas for Smoothed Product Distributions by Alon Brutzkus et al
06-21-2019	On Tree-based Methods for Similarity Learning by Stéphan Clémençon et al
06-20-2019	Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration by Ville Vestman et al
06-19-2019	Provable Gradient Variance Guarantees for Black-Box Variational Inference by Justin Domke
06-18-2019	Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding by Kai Zhen et al
06-18-2019	Brain correlates of task-load and dementia elucidation with tensor machine learning using oddball BCI paradigm by Tomasz M. Rutkowski et al
06-21-2019	Privacy Preserving QoE Modeling using Collaborative Learning by Selim Ickin et al
06-20-2019	Generalization error bounds for kernel matrix completion and extrapolation by Pere Giménez-Febrer et al
06-21-2019	Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning by Robin Vogel et al
06-18-2019	From Clustering to Cluster Explanations via Neural Networks by Jacob Kauffmann et al
06-20-2019	Screening Sinkhorn Algorithm for Regularized Optimal Transport by Mokhtar Z. Alaya et al
06-20-2019	Individual Fairness in Sponsored Search Auctions by Shuchi Chawla et al
06-20-2019	Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings by Fabio Massimo Zennaro
06-18-2019	Prune and Replace NAS by Kevin Alexander Laube et al
06-20-2019	testRNN: Coverage-guided Testing on Recurrent Neural Networks by Wei Huang et al
06-19-2019	Constrained Bilinear Factorization Multi-view Subspace Clustering by Qinghai Zheng et al
06-21-2019	Quantitative Mitigation of Timing Side Channels by Saeid Tizpaz-Niari et al
06-20-2019	Regional based query in graph active learning by Roy Abel et al
06-20-2019	A data-driven approach to sampling matrix selection for compressive sensing by Elin Farnell et al
06-18-2019	A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning by Newsha Ardalani et al
06-21-2019	Query-based Deep Improvisation by Shlomo Dubnov
06-18-2019	Estimating a Manifold from a Tangent Bundle Learner by Bharathkumar Ramachandra et al
06-21-2019	FlipTest: Fairness Auditing via Optimal Transport by Emily Black et al
06-20-2019	Disentangling Influence: Using Disentangled Representations to Audit Model Predictions by Charles T. Marx et al
06-21-2019	Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes by Wil O. C. Ward et al
06-21-2019	Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis by Ryan Rogers et al
06-19-2019	Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification by Thomas Mortier et al
06-19-2019	Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules by Tomer Gafni et al
06-19-2019	Clustering with Fairness Constraints: A Flexible and Scalable Approach by Imtiaz Masud Ziko et al
06-18-2019	Kernel quadrature with DPPs by Ayoub Belhadji et al
06-21-2019	Joint Detection of Malicious Domains and Infected Clients by Paul Prasse et al
06-18-2019	Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes by James Requeima et al
06-21-2019	Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems by Žiga Lukšič et al
06-18-2019	A Study of the Learning Progress in Neural Architecture Search Techniques by Prabhant Singh et al
06-21-2019	Thompson Sampling for Adversarial Bit Prediction by Yuval Lewi et al
06-21-2019	Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation by Avishek Ghosh et al
06-20-2019	ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair by Thibaud Lutellier et al
06-18-2019	Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition by Suraj Tripathi et al
06-18-2019	Intrinsic dimension estimation for locally undersampled data by Vittorio Erba et al
06-18-2019	Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy by Arielle Moro et al
06-18-2019	Simple Algorithms for Dueling Bandits by Tyler Lekang et al
06-18-2019	Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods by Franca Hoffmann et al
06-18-2019	Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup by Sebastian Goldt et al
06-18-2019	Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion by Jia You et al
06-18-2019	Domain Adaptation for Enterprise Email Search by Brandon Tran et al