
The Rate of Convergence of VariationConstrained Deep Neural Networks
Multilayer feedforward networks have been used to approximate a wide ra...
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SampleEfficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Lowcomplexity models such as linear function representation play a pivo...
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Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small EigenGaps
Eigenvector perturbation analysis plays a vital role in various statisti...
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Adaptive Prototype Learning and Allocation for FewShot Segmentation
Prototype learning is extensively used for fewshot segmentation. Typica...
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Softmax Policy Gradient Methods Can Take Exponential Time to Converge
The softmax policy gradient (PG) method, which performs gradient ascent ...
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Is QLearning Minimax Optimal? A Tight Sample Complexity Analysis
Qlearning, which seeks to learn the optimal Qfunction of a Markov deci...
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It's All Relative: New Regression Paradigm for Microbiome Compositional Data
Microbiome data are complex in nature, involving high dimensionality, co...
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The More Data, the Better? Demystifying DeletionBased Methods in Linear Regression with Missing Data
We compare two deletionbased methods for dealing with the problem of mi...
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The Efficacy of L_1 Regularization in TwoLayer Neural Networks
A crucial problem in neural networks is to select the most appropriate n...
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Learning Topological Motion Primitives for Knot Planning
In this paper, we approach the challenging problem of motion planning fo...
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Edge and Identity Preserving Network for Face SuperResolution
Face superresolution has become an indispensable part in security probl...
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Sample Complexity of Asynchronous QLearning: Sharper Analysis and Variance Reduction
Asynchronous Qlearning aims to learn the optimal actionvalue function ...
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Multivariate LogContrast Regression with SubCompositional Predictors: Testing the Association Between Preterm Infants' Gut Microbiome and Neurobehavioral Outcomes
The socalled gutbrain axis has stimulated extensive research on microb...
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Breaking the Sample Size Barrier in ModelBased Reinforcement Learning with a Generative Model
We investigate the sample efficiency of reinforcement learning in a γdi...
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Nonconvex LowRank Symmetric Tensor Completion from Noisy Data
We study a noisy symmetric tensor completion problem of broad practical ...
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Zeroinflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data
Dimension reduction of highdimensional microbiome data facilitates subs...
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Subspace Estimation from Unbalanced and Incomplete Data Matrices: ℓ_2,∞ Statistical Guarantees
This paper is concerned with estimating the column space of an unknown l...
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UnicoderVL: A Universal Encoder for Vision and Language by Crossmodal Pretraining
We propose UnicoderVL, a universal encoder that aims to learn joint rep...
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DABNet: Depthwise Asymmetric Bottleneck for Realtime Semantic Segmentation
As a pixellevel prediction task, semantic segmentation needs large comp...
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Theory of Spectral Method for Union of SubspacesBased Random Geometry Graph
Spectral Method is a commonly used scheme to cluster data points lying c...
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Compressed Subspace Learning Based on Canonical Angle Preserving Property
A standard way to tackle the challenging task of learning from highdime...
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Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
Restricted Isometry Property (RIP) is of fundamental importance in the t...
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Deep Reason: A Strong Baseline for RealWorld Visual Reasoning
This paper presents a strong baseline for realworld visual reasoning (G...
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JohnsonLindenstrauss Property Implies Subspace Restricted Isometry Property
Dimensionality reduction is a popular approach to tackle highdimensiona...
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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Generalized Integrative Principal Component Analysis for MultiType Data with BlockWise Missing Structure
Highdimensional multisource data are encountered in many fields. Despi...
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Integrative MultiView ReducedRank Regression: Bridging GroupSparse and LowRank Models
Multiview data have been routinely collected in various fields of scien...
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Rigorous Restricted Isometry Property of LowDimensional Subspaces
Dimensionality reduction is in demand to reduce the complexity of solvin...
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To Wait or Not to Wait: Twoway Functional Hazards Model for Understanding Waiting in Call Centers
Telephone call centers offer a convenient communication channel between ...
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Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse
Phase retrieval has been an attractive but difficult problem rising from...
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Active Orthogonal Matching Pursuit for Sparse Subspace Clustering
Sparse Subspace Clustering (SSC) is a stateoftheart method for cluste...
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Structural Learning and Integrative Decomposition of MultiView Data
The increased availability of the multiview data (data on the same samp...
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Phase Transitions of Spectral Initialization for HighDimensional Nonconvex Estimation
We study a spectral initialization method that serves a key role in rece...
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Supervised multiway factorization
We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for mul...
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