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09/08/2023
Optimal Rate of Kernel Regression in Large Dimensions
We perform a study on kernel regression for large-dimensional data (wher...
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07/24/2023
Functional Slicing-free Inverse Regression via Martingale Difference Divergence Operator
Functional sliced inverse regression (FSIR) is one of the most popular a...
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07/06/2023
On the Optimality of Functional Sliced Inverse Regression
In this paper, we prove that functional sliced inverse regression (FSIR)...
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06/01/2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Aiming at promoting the safe real-world deployment of Reinforcement Lear...
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05/29/2023
Generalization Ability of Wide Residual Networks
In this paper, we study the generalization ability of the wide residual ...
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05/12/2023
On the Optimality of Misspecified Kernel Ridge Regression
In the misspecified kernel ridge regression problem, researchers usually...
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05/07/2023
Sliced Inverse Regression with Large Structural Dimensions
The central space of a joint distribution (,Y) is the minimal subspace 𝒮...
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05/04/2023
Statistical Optimality of Deep Wide Neural Networks
In this paper, we consider the generalization ability of deep wide feedf...
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03/28/2023
Kernel interpolation generalizes poorly
One of the most interesting problems in the recent renaissance of the st...
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03/27/2023
On the optimality of misspecified spectral algorithms
In the misspecified spectral algorithms problem, researchers usually ass...
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02/12/2023
Generalization Ability of Wide Neural Networks on ℝ
We perform a study on the generalization ability of the wide two-layer R...
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02/22/2022
A Semi-Supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Identifying breakdowns in ongoing dialogues helps to improve communicati...
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04/01/2021
SMORES-EP, a Modular Robot with Parallel Self-assembly
Self-assembly of modular robotic systems enables the construction of com...
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10/18/2020
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
Due to the limits of bandwidth and storage space, digital images are usu...
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10/17/2020
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
With the ever-increasing adoption of machine learning for data analytics...
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09/12/2020
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks
In the last few years, distributed machine learning has been usually exe...
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07/30/2020
The Blessing and the Curse of the Noise behind Facial Landmark Annotations
The evolving algorithms for 2D facial landmark detection empower people ...
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04/16/2020
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications
Data collaboration activities typically require systematic or protocol-b...
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02/11/2020
LoCEC: Local Community-based Edge Classification in Large Online Social Networks
Relationships in online social networks often imply social connections i...
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01/27/2020
Print Defect Mapping with Semantic Segmentation
Efficient automated print defect mapping is valuable to the printing ind...
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11/27/2019
Multi-View Matching Network for 6D Pose Estimation
Applications that interact with the real world such as augmented reality...
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10/03/2019
Blockchains and Distributed Databases: a Twin Study
Blockchain has come a long way: a system that was initially proposed spe...
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09/06/2019
The Disruptions of 5G on Data-driven Technologies and Applications
With 5G on the verge of being adopted as the next mobile network, there ...
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10/30/2018
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
In this paper, we propose an additionsubtraction twin-gated recurrent ne...
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07/24/2018
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
Although neural machine translation(NMT) yields promising translation pe...
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07/04/2018
Randomization Inference for Peer Effects
Many previous causal inference studies require no interference among uni...
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06/11/2018
Scalable Overload Control for Large-scale Microservice Architecture
Effective overload control for large-scale online service system is cruc...
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05/28/2018
Object-Level Representation Learning for Few-Shot Image Classification
Few-shot learning that trains image classifiers over few labeled example...
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05/04/2018
Global testing under the sparse alternatives for single index models
For the single index model y=f(β^τx,ϵ) with Gaussian design, and β is a...
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02/14/2018
ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications
Existing data storage systems offer a wide range of functionalities to a...
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11/07/2015