b'Jialin Zhang'

research

∙ 05/21/2023

Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits

We investigate the online bandit learning of the monotone multi-linear D...

0 Zongqi Wan, et al. ∙

research

∙ 03/05/2023

Reparameterization through Spatial Gradient Scaling

Reparameterization aims to improve the generalization of deep neural net...

0 Alexander Detkov, et al. ∙

research

∙ 02/21/2023

A General-Purpose Transferable Predictor for Neural Architecture Search

Understanding and modelling the performance of neural architectures is k...

0 Fred X. Han, et al. ∙

research

∙ 11/30/2022

AIO-P: Expanding Neural Performance Predictors Beyond Image Classification

Evaluating neural network performance is critical to deep neural network...

0 Keith G. Mills, et al. ∙

research

∙ 11/30/2022

GENNAPE: Towards Generalized Neural Architecture Performance Estimators

Predicting neural architecture performance is a challenging task and is ...

0 Keith G. Mills, et al. ∙

research

∙ 08/30/2022

Improved Deterministic Algorithms for Non-monotone Submodular Maximization

Submodular maximization is one of the central topics in combinatorial op...

0 Xiaoming Sun, et al. ∙

research

∙ 07/19/2022

A Normal Test for Independence via Generalized Mutual Information

Testing hypothesis of independence between two random elements on a join...

0 Jialin Zhang, et al. ∙

research

∙ 05/30/2022

Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets

Multi-arm bandit (MAB) and stochastic linear bandit (SLB) are important ...

8 Zongqi Wan, et al. ∙

research

∙ 05/02/2022

Asymptotic Normality for Plug-in Estimators of Generalized Shannon's Entropy

Shannon's entropy is one of the building blocks of information theory an...

0 Jialin Zhang, et al. ∙

research

∙ 04/27/2022

Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback

We study the adversarial bandit problem with composite anonymous delayed...

0 Zongqi Wan, et al. ∙

research

∙ 04/26/2022

Entropic Plots for Tail Type Classification

This article proposes a non-parametric tail classifier to aid tail class...

0 Jialin Zhang, et al. ∙

research

∙ 02/17/2022

Online Scheduling of Time-Critical Tasks to Minimize the Number of Calibrations

We study the online scheduling problem where the machines need to be cal...

0 Zuzhi Chen, et al. ∙

research

∙ 09/25/2021

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

Neural architecture search automates neural network design and has achie...

0 Keith G. Mills, et al. ∙

research

∙ 09/13/2021

Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles

We study the online influence maximization (OIM) problem in social netwo...

0 Zhijie Zhang, et al. ∙

research

∙ 06/07/2021

Network Inference and Influence Maximization from Samples

Influence maximization is the task of selecting a small number of seed n...

0 Wei Chen, et al. ∙

research

∙ 09/18/2020

Quantum Search with Prior Knowledge

Search-base algorithms have widespread applications in different scenari...

0 Xiaoyu He, et al. ∙

research

∙ 08/16/2020

Discouraging Pool Block Withholding Attacks in Bitcoins

The arisen of Bitcoin has led to much enthusiasm for blockchain research...

0 Zhihuai Chen, et al. ∙

research

∙ 07/29/2020

Online Convex Optimization with Classical and Quantum Evaluation Oracles

As a fundamental tool in AI, convex optimization has been a significant ...

0 Jianhao He, et al. ∙

research

∙ 07/06/2020

Optimization from Structured Samples for Coverage Functions

We revisit the optimization from samples (OPS) model, which studies the ...

3 Wei Chen, et al. ∙

research

∙ 03/25/2020

Tight Algorithms for the Submodular Multiple Knapsack Problem

Submodular function maximization has been a central topic in the theoret...

0 Xiaoming Sun, et al. ∙

research

∙ 07/21/2019

Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio

In this paper, we study the two-facility location game on a line with op...

0 Minming Li, et al. ∙

research

∙ 07/12/2019

A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization

Non-negative Matrix Factorization (NMF) asks to decompose a (entry-wise)...

0 Zhihuai Chen, et al. ∙

research

∙ 07/11/2019

Optimal Space-Depth Trade-Off of CNOT Circuits in Quantum Logic Synthesis

Due to the decoherence of the state-of-the-art physical implementations ...

0 Jiaqing Jiang, et al. ∙

research

∙ 07/11/2019

Cake Cutting on Graphs: A Discrete and Bounded Proportional Protocol

The classical cake cutting problem studies how to find fair allocations ...

0 Xiaohui Bei, et al. ∙

research

∙ 06/13/2019

Querying a Matrix through Matrix-Vector Products

We consider algorithms with access to an unknown matrix M∈F^n × d via ma...

0 Xiaoming Sun, et al. ∙

research

∙ 02/19/2019

An entropic feature selection method in perspective of Turing formula

Health data are generally complex in type and small in sample size. Such...

0 Jingyi Shi, et al. ∙

research

∙ 06/28/2018

Coreness of Cooperative Games with Truncated Submodular Profit Functions

Coreness represents solution concepts related to core in cooperative gam...

0 Wei Chen, et al. ∙

research

∙ 03/02/2018

Higher order monotonicity and submodularity of influence in social networks: from local to global

Kempe, Kleinberg and Tardos (KKT) proposed the following conjecture abou...

0 Wei Chen, et al. ∙

research

∙ 11/23/2016

Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising

In this work, we study the guaranteed delivery model which is widely use...

0 Jia Zhang, et al. ∙

Jialin Zhang

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