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06/19/2023
Least Square Value Iteration is Robust Under Locally Bounded Misspecification Error
The success of reinforcement learning heavily relies on the function app...
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06/15/2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
Policy optimization methods are powerful algorithms in Reinforcement Lea...
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01/26/2023
Incomplete Multi-view Clustering via Prototype-based Imputation
In this paper, we study how to achieve two characteristics highly-expect...
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10/24/2022
The Case for Accelerating BFT Protocols Using In-Network Ordering
Mission critical systems deployed in data centers today are facing more ...
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10/21/2022
Twin Contrastive Learning for Online Clustering
This paper proposes to perform online clustering by conducting twin cont...
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09/26/2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information
Fair clustering aims to divide data into distinct clusters, while preven...
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08/09/2022
Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision
Covariate adjustment is desired by both practitioners and regulators of ...
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09/21/2020
Contrastive Clustering
In this paper, we propose a one-stage online clustering method called Co...
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07/20/2020
UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs
The recent introduction of Unified Virtual Memory (UVM) in GPUs offers a...
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03/16/2020
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks
Estimation of distribution algorithms (EDA) as one of the EAs is a stoch...
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03/16/2020
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP
Estimation of distribution algorithms (EDA) are stochastic optimization ...
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04/24/2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Since the advent of the horseshoe priors for regularization, global-loca...
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03/15/2019