02132019

On Reinforcement Learning Using Monte Carlo Tree Search
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Devavrat Shah
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02132019

On Lightweight PrivacyPreserving Collaborative
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02152019

Deep Reinforcement Learning Based Highlevel Driving
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02122019

Gaussian Mean Field Regularizes by Limiting Learned
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02152019

Estimation of blood oxygenation with learned spectral
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02122019

Minimax rates in outlierrobust estimation of discrete
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02152019

Network Offloading Policies for Cloud Robotics: a
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02152019

A Convolutional Network for Sleep Stages Classification
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AutoQB: AutoML for Network Quantization and
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Superposition of many models into one
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02142019

Estimating the Circuit Deobfuscating Runtime based on
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Hyperbolic Disk Embeddings for Directed Acyclic Graphs
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02152019

The Fairness of Risk Scores Beyond Classification:
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02122019

A Domain Generalization Perspective on Listwise Context
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Lin Zhu
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02122019

Capacity allocation analysis of neural networks: A tool
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Jonathan Donier

02122019

Extended 2D Volumetric Consensus Hippocampus
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Diedre Carmo
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02122019

PACBayes Analysis of Sentence Representation
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Sparse Feature Selection in Kernel Discriminant
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02152019

Asymptotically exact data augmentation: models,
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02122019

Learning Generative Models of Structured Signals from
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Crime Analysis using Open Source Information
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02152019

Lipschitz Generative Adversarial Nets
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02142019

Sinkhorn Divergence of Topological Signature Estimates
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Colin Stephen

02122019

An InVehicle KWS System with MultiSource Fusion for
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02152019

Supervised Deep Neural Networks (DNNs) for
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02152019

Unsupervised shape and motion analysis of 3822 cardiac
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Qiao Zheng
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02122019

The Cost of Privacy: Optimal Rates of Convergence for
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T. Tony Cai
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02122019

Thompson Sampling with Information Relaxation Penalties
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Seungki Min
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02122019

PostData Augmentation to Improve Deep Pose Estimation
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Kohei Toyoda
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02122019

Deep Reinforcement Learning from PolicyDependent Human
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Dilip Arumugam
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02122019

A Theory of Selective Prediction
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Mingda Qiao
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02132019

On the Expressive Power of Kernel Methods and the
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Pravesh K. Kothari
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The Odds are Odd: A Statistical Test for Detecting
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Kevin Roth
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Group level MEG/EEG source imaging via optimal
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Hicham Janati
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02132019

Stochastic Gradient Descent Escapes Saddle Points
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Chi Jin
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02152019

Fast TaskAware Architecture Inference
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02122019

Weighted Tensor Completion for TimeSeries Causal
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02152019

Heavytailed kernels reveal a finer cluster structure
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The Complexity of Making the Gradient Small in
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PrivacyUtility Tradeoff of Linear Regression under
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02152019

Robust Reinforcement Learning in POMDPs with Incomplete
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02132019

Differentially Private Learning of Geometric Concepts
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02142019

ProxSARAH: An Efficient Algorithmic Framework for
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02122019

Rethinking Generative Coverage: A Pointwise Guaranteed
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Identity Crisis: Memorization and Generalization under
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KINN: Incorporating Expert Knowledge in Neural Networks
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Muhammad Ali Chattha
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02142019

Reinforcement Learning Without Backpropagation or a
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James Kostas
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02122019

Joint Training of Neural Network Ensembles
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Andrew M. Webb
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02122019

Binary Stochastic Filtering: a Solution for Supervised
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02122019

Crowdsourced PAC Learning under Classification Noise
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Shelby Heinecke
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02142019

Classifying Treatment Responders Under Causal Effect
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Nathan Kallus

02132019

Explainable TextDriven Neural Network for Stock
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Linyi Yang
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02132019

Wasserstein Barycenter Model Ensembling
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Pierre Dognin
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02122019

Differential Description Length for Hyperparameter
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02122019

Learning Ising Models with Independent Failures
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Surbhi Goel
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02132019

Classifying Signals on Irregular Domains via
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02142019

Can Intelligent Hyperparameter Selection Improve
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Cody Burkard
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Adversarially Approximated Autoencoder for Image
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Wenju Xu
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02122019

PLIT: An alignmentfree computational tool for
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Deep DivergenceBased Approach to Clustering
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Recurrent Neural Networks with Stochastic Layers for
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02142019

Procrastinating with Confidence: NearOptimal, Anytime,
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Direct Automatic Coronary Calcium Scoring in Cardiac
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Distributed Online Linear Regression
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02132019

Improving performance and inference on audio
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Royal Jain

02132019

On the Convergence of Extended Variational Inference
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Zhanyu Ma
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02122019

Stable multiinstance learning visa causal inference
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Weijia Zhang

02122019

Machine Learning of Time Series Using Timedelay
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Alexander J. A. Ty
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02132019

A Study on GraphStructured Recurrent Neural Networks
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02132019

Probabilistic Neural Architecture Search
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Francesco Paolo Casale
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02122019

Beyond the Chinese Restaurant and PitmanYor processes:
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02122019

Verification Code Recognition Based on Active and Deep
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Dongliang Xu
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02142019

Competing Bandits: The Perils of Exploration under
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02142019

A Broad Class of DiscreteTime HypercomplexValued
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Multiviews Embedding for Cattle Reidentification
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Luca Bergamini
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02132019

Bone Texture Analysis for Prediction of Incident
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Jukka Hirvasniemi
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02142019

Generalisation in fullyconnected neural networks for
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Anastasia Borovykh
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02122019

ELF OpenGo: An Analysis and Open Reimplementation of
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Yuandong Tian
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02122019

Bayesian Online Detection and Prediction of Change
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Simultaneously Learning Vision and Featurebased
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Neural network models and deep learning  a primer for
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Nikolaus Kriegeskorte
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02122019

TensorSCONE: A Secure TensorFlow Framework using Intel
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GeoGAN: A Conditional GAN with Reconstruction and Style
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Swetava Ganguli
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02122019

Predicting Food Security Outcomes Using Convolutional
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Swetava Ganguli
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02132019

Why are Saliency Maps Noisy? Cause of and Solution to
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Beomsu Kim
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02142019

Unsupervised Visuomotor Control through Distributional
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Tianhe Yu
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02132019

ATMSeer: Increasing Transparency and Controllability in
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Qianwen Wang
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02132019

How do infinite width bounded norm networks look in
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Pedro Savarese
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02122019

Infinite Mixture Prototypes for FewShot Learning
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Kelsey R. Allen
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02122019

Maximum Likelihood Estimation for Learning Populations
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02132019

SampleOptimal Parametric QLearning with Linear
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Lin F. Yang
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02142019

CrossNorm: Normalization for OffPolicy TD
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Aditya Bhatt
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02122019

Contrastive Variational Autoencoder Enhances Salient
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Abubakar Abid
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02142019

ExponentiallyModified Gaussian Mixture Model:
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Sebastian Ament
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02152019

SVMbased Deep Stacking Networks
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Jingyuan Wang
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02132019

Do Subsampled Newton Methods Work for HighDimensional
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Xiang Li
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02132019

Modeling default rate in P2P lending via LSTM
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Yan Wang
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02132019

OffPolicy ActorCritic in an Ensemble: Achieving
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Gang Chen
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02122019

Density Estimation and Incremental Learning of Latent
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Jaeyoung Yoo
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02122019

ACTRCE: Augmenting Experience via Teachers Advice For
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Harris Chan
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02132019

Wireless Traffic Prediction with Scalable Gaussian
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Yue Xu
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02132019

Efficient CrossValidation for SemiSupervised Learning
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Yong Liu
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02122019

A Probabilistic Framework to Nodelevel Anomaly
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Batiste Le Bars
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02122019

Salus: FineGrained GPU Sharing Primitives for Deep
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Peifeng Yu
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02152019

Efficient Deep Learning of GMMs
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Shirin Jalali
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02132019

VariancePreserving Initialization Schemes Improve Deep
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Kyle Luther
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02122019

Improving Facial Emotion Recognition Systems Using
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Ram Krishna Pandey
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02122019

Field of Interest Prediction for ComputerAided Mitotic
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Marc Aubreville
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02122019

Learning interpretable continuoustime models of latent
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Lea Duncker
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02142019

Tractography and machine learning: Current state and
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Philippe Poulin
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02132019

Anytime Tail Averaging
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Nicolas Le Roux

02152019

Translation Insensitivity for Deep Convolutional
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Vincent Dutordoir
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02132019

An Optimized Recurrent Unit for UltraLowPower Keyword
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Justice Amoh
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02122019

A ProblemAdaptive Algorithm for Resource Allocation
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Xavier Fontaine
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02142019

Classification with unknown class conditional label
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Henry W J Reeve
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02142019

WaveletFCNN: A Deep Time Series Classification Model
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Binhang Yuan
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02142019

Quick and Easy Time Series Generation with Established
Imagebased GANs
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Eoin Brophy
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02122019

Extreme Tensoring for LowMemory Preconditioning
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Xinyi Chen
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02122019

Learning Theory and Support Vector Machines  a primer
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Michael Banf

02132019

Phaseless Low Rank Matrix Recovery and Subspace
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Seyedehsara Nayer
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02142019

Fully Convolutional Networks for Text Classification
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Jacob Anderson

02142019

A Probabilistic framework for Quantum Clustering
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Raúl V. CasañaEslava
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02152019

Learning to Adaptively Scale Recurrent Neural Networks
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Hao Hu
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02132019

Federated Machine Learning: Concept and Applications
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Qiang Yang
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02132019

On ManytoMany Mapping Between Concordance Correlation
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02122019

A Tunable Loss Function for Binary Classification
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Tyler Sypherd
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02132019

Uniform convergence may be unable to explain
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Vaishnavh Nagarajan
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02132019

Learning and Generalization for Matching Problems
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