
The Complexity of Pacing for SecondPrice Auctions
Budget constraints are ubiquitous in online advertisement auctions. To m...
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BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification
Alzheimer's disease (AD) is the most common agerelated dementia. It rem...
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No DiscountedRegret Learning in Adversarial Bandits with Delays
Consider a player that in each round t out of T rounds chooses an action...
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Bayesian MetaLearning for FewShot Policy Adaptation Across Robotic Platforms
Reinforcement learning methods can achieve significant performance but r...
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Variance Reduced MedianofMeans Estimator for ByzantineRobust Distributed Inference
This paper develops an efficient distributed inference algorithm, which ...
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Lifelong Learning based Disease Diagnosis on Clinical Notes
Current deep learning based disease diagnosis systems usually fall short...
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Some continuous and discontinuous Galerkin methods and structure preservation for incompressible flows
In this paper, we present consistent and inconsistent discontinuous Gale...
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Learning a Product Relevance Model from ClickThrough Data in ECommerce
The search engine plays a fundamental role in online ecommerce systems,...
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Online Statistical Inference for Gradientfree Stochastic Optimization
As gradientfree stochastic optimization gains emerging attention for a ...
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Monitoring SEIRD model parameters using MEWMA for the COVID19 pandemic with application to the State of Qatar
During the current COVID19 pandemic, decision makers are tasked with im...
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Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for SelfSupervised Taxonomy Expansion
Taxonomy is a hierarchically structured knowledge graph that plays a cru...
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Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data
Objective: Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool t...
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ExpectationMaximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
We present an ExpectationMaximization (EM) Regularized Deep Learning (E...
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Connecting The Dots To Combat Collective Fraud
Modern fraudsters write malicious programs to coordinate a group of acco...
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Adversarial Combinatorial Bandits with General Nonlinear Reward Functions
In this paper we study the adversarial combinatorial bandit with a known...
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EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
Lowlatency, lowpower portable recurrent neural network (RNN) accelerat...
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Smoothed Gaussian Mixture Models for Video Classification and Recommendation
Clusterandaggregate techniques such as Vector of Locally Aggregated De...
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Bayesian optimization assisted unsupervised learning for efficient intratumor partitioning in MRI and survival prediction for glioblastoma patients
Glioblastoma is profoundly heterogeneous in microstructure and vasculatu...
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Polynomialtime trace reconstruction in the low deletion rate regime
In the trace reconstruction problem, an unknown source string x ∈{0,1}^n...
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Enhanced Fewshot Learning for Intrusion Detection in Railway Video Surveillance
Video surveillance is gaining increasing popularity to assist in railway...
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Distant Supervision for Ecommerce Query Segmentation via Attention Network
The booming online ecommerce platforms demand highly accurate approache...
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An Industry Evaluation of Embeddingbased Entity Alignment
Embeddingbased entity alignment has been widely investigated in recent ...
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Binary Choice with Asymmetric Loss in a DataRich Environment: Theory and an Application to Racial Justice
The importance of asymmetries in prediction problems arising in economic...
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Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
Recent advances in automatic evaluation metrics for text have shown that...
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DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis
Modern machine learning models (such as deep neural networks and boostin...
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PrivacyPreserving Dynamic Personalized Pricing with Demand Learning
The prevalence of ecommerce has made detailed customers' personal infor...
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Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in FreeLiving Environments
Stroke is known as a major global health problem, and for stroke survivo...
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Finding Influential Instances for Distantly Supervised Relation Extraction
Distant supervision has been demonstrated to be highly beneficial to enh...
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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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Xi Chen
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Universität Zürich
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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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University of Bath
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University of Oxford
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Ghent University
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KTH Royal Institute of Technology
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NYU college
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Tencent
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Columbia University
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Carnegie Mellon University
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University of Kentucky
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NetEase, Inc