
Online Disease Selfdiagnosis with Inductive Heterogeneous Graph Convolutional Networks
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer d...
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Information Theoretic Counterfactual Learning from MissingNotAtRandom Feedback
Counterfactual learning for dealing with missingnotatrandom data (MNA...
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Polynomialtime trace reconstruction in the smoothed complexity model
In the trace reconstruction problem, an unknown source string x ∈{0,1}^n...
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A unified framework of continuous and discontinuous Galerkin methods for solving the incompressible Navier–Stokes equation
In this paper, we propose a unified numerical framework for the timedep...
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On the Sample Complexity of Reinforcement Learning with Policy Space Generalization
We study the optimal sample complexity in largescale Reinforcement Lear...
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Transformer with Bidirectional Decoder for Speech Recognition
Attentionbased models have made tremendous progress on endtoend autom...
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Composition and Configuration Patterns in MultipleView Visualizations
Multipleview visualization (MV) is a layout design technique often empl...
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Nonparametric estimation of Stochastic Differential Equations from stationary timeseries
We study efficiency of nonparametric estimation of diffusions (stochast...
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Versatile Mixed Methods for the Incompressible NavierStokes Equations
In the spirit of the "Principle of Equipresence" introduced by Truesdell...
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Variable Skipping for Autoregressive Range Density Estimation
Deep autoregressive models compute point likelihood estimates of individ...
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Humancentered collaborative robots with deep reinforcement learning
We present a reinforcement learning based framework for humancentered c...
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NeuroCard: One Cardinality Estimator for All Tables
Query optimizers rely on accurate cardinality estimates to produce good ...
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Hedging in games: Faster convergence of external and swap regrets
We consider the setting where players run the Hedge algorithm or its opt...
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COVID19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great referen...
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Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue
In this paper, we propose a novel noniterative algorithm to simultaneou...
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Learning and Testing Junta Distributions with Subcube Conditioning
We study the problems of learning and testing junta distributions on {1...
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DAN: A DeformationAware Network for Consecutive Biomedical Image Interpolation
The continuity of biological tissue between consecutive biomedical image...
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Comparison for Improvements of Singing Voice Detection System Based on Vocal Separation
Singing voice detection is the task to identify the frames which contain...
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Distributed Estimation for Principal Component Analysis: a Gapfree Approach
The growing size of modern data sets brings many challenges to the exist...
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Dimension Independent Generalization Error with Regularized Online Optimization
One classical canon of statistics is that large models are prone to over...
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Resolution Adaptive Networks for Efficient Inference
Recently, adaptive inference is gaining increasing attention due to its ...
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Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing
Datadriven sequential decision has found a wide range of applications i...
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Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms
We study the fixedsupport Wasserstein barycenter problem (FSWBP), whic...
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FixedSupport Wasserstein Barycenters: Computational Hardness and Fast Algorithm
We study the fixedsupport Wasserstein barycenter problem (FSWBP), whic...
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Computational Hardness and Fast Algorithm for FixedSupport Wasserstein Barycenter
We study in this paper the fixedsupport Wasserstein barycenter problem ...
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A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions
Stochastic gradient descent (SGD) algorithm is widely used for parameter...
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ALPINE: Active Link Prediction using Network Embedding
Many realworld problems can be formalized as predicting links in a part...
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On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond
Observed events in recommendation are consequence of the decisions made ...
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Correcting Knowledge Base Assertions
The usefulness and usability of knowledge bases (KBs) is often limited b...
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Superconvergent mixed finite element methods for the pseudostressvelocity formulation of the Oseen equation
We present a priori and superconvergence error estimates of mixed finite...
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Adaptive Discrete Smoothing for HighDimensional and Nonlinear Panel Data
In this paper we develop a datadriven smoothing technique for highdime...
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Smallfootprint Keyword Spotting with Graph Convolutional Network
Despite the recent successes of deep neural networks, it remains challen...
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Smoothed complexity of local MaxCut and binary MaxCSP
We show that the smoothed complexity of the FLIP algorithm for local Max...
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Random Restrictions of HighDimensional Distributions and Uniformity Testing with Subcube Conditioning
We give a nearlyoptimal algorithm for testing uniformity of distributio...
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Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
In the new wave of artificial intelligence, deep learning is impacting v...
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Thresholding Bandit Problem with Both Duels and Pulls
The Thresholding Bandit Problem (TBP) aims to find the set of arms with ...
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Robust Dynamic Assortment Optimization in the Presence of Outlier Customers
We consider the dynamic assortment optimization problem under the multin...
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An Axiomatic Approach to Block Rewards
Proofofwork blockchains reward each miner for one completed block by a...
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LEAP: A Lightweight Encryption and Authentication Protocol for InVehicle Communications
The Controller Area Network (CAN) is considered as the defacto standard...
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Learning Visual Relation Priors for ImageText Matching and Image Captioning with Neural Scene Graph Generators
Grounding language to visual relations is critical to various languagea...
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Flexible Disaster Response of Tomorrow  Final Presentation and Evaluation of the CENTAURO System
Mobile manipulation robots have high potential to support rescue forces ...
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Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Deep reinforcement learning (RL) has enabled training actionselection p...
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UER: An OpenSource Toolkit for Pretraining Models
Existing works, including ELMO and BERT, have revealed the importance of...
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Bayesian automated posterior repartitioning for nested sampling
Priors in Bayesian analyses often encode informative domain knowledge th...
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AutoregressiveModelBased Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation
Time series prediction with missing values is an important problem of ti...
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A Lower Bound on CycleFinding in Sparse Digraphs
We consider the problem of finding a cycle in a sparse directed graph G ...
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Efficient averagecase population recovery in the presence of insertions and deletions
Several recent works have considered the trace reconstruction problem, i...
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Nearly optimal edge estimation with independent set queries
We study the problem of estimating the number of edges of an unknown, un...
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Evaluating Protein Transfer Learning with TAPE
Protein modeling is an increasingly popular area of machine learning res...
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Distributed Highdimensional Regression Under a Quantile Loss Function
This paper studies distributed estimation and support recovery for high...
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Xi Chen
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The University of Texas at Arlington
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aalto
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University of Cambridge
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Ghent University
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KTH Royal Institute of Technology
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Tencent
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NetEase, Inc
Software Engineer at Microsoft