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06/17/2023
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
This paper considers a single-trajectory system identification problem f...
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01/11/2023
Online Hyperparameter Optimization for Class-Incremental Learning
Class-incremental learning (CIL) aims to train a classification model wh...
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12/25/2022
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Latent factor model estimation typically relies on either using domain k...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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03/25/2022
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
Concurrent perception datasets for autonomous driving are mainly limited...
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03/05/2022
Wasserstein Distance-based Spectral Clustering with Application to Transaction Data
With the rapid development of online payment platforms, it is now possib...
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01/20/2022
Statistical Learning for Individualized Asset Allocation
We establish a high-dimensional statistical learning framework for indiv...
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10/31/2021
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
We study the adaptive control of an unknown linear system with a quadrat...
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11/25/2020
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
We consider online convex optimization with time-varying stage costs and...
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10/25/2020
Coherent Loss: A Generic Framework for Stable Video Segmentation
Video segmentation approaches are of great importance for numerous visio...
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10/11/2020
Online Learning and Distributed Control for Residential Demand Response
This paper studies the automated control method for regulating air condi...
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10/10/2020
Online Optimal Control with Affine Constraints
This paper considers online optimal control with affine constraints on t...
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12/19/2019