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09/13/2023
Uncertainty-aware Traffic Prediction under Missing Data
Traffic prediction is a crucial topic because of its broad scope of appl...
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06/16/2023
Linear convergence of Nesterov-1983 with the strong convexity
For modern gradient-based optimization, a developmental landmark is Nest...
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04/28/2023
On Underdamped Nesterov's Acceleration
The high-resolution differential equation framework has been proven to b...
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04/21/2023
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
The emergence of reinforcement learning (RL) methods in traffic signal c...
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12/13/2022
Linear Convergence of ISTA and FISTA
In this paper, we revisit the class of iterative shrinkage-thresholding ...
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12/12/2022
Revisiting the acceleration phenomenon via high-resolution differential equations
Nesterov's accelerated gradient descent (NAG) is one of the milestones i...
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11/19/2022
LibSignal: An Open Library for Traffic Signal Control
This paper introduces a library for cross-simulator comparison of reinfo...
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11/03/2022
Proximal Subgradient Norm Minimization of ISTA and FISTA
For first-order smooth optimization, the research on the acceleration ph...
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09/19/2022
Gradient Norm Minimization of Nesterov Acceleration: o(1/k^3)
In the history of first-order algorithms, Nesterov's accelerated gradien...
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08/13/2022
Modeling Network-level Traffic Flow Transitions on Sparse Data
Modeling how network-level traffic flow changes in the urban environment...
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08/01/2022
An Adjoint-Free Algorithm for CNOP via Sampling
In this paper, we propose a sampling algorithm based on statistical mach...
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05/06/2022
Comparison of Effect Size Measures for Mediation Analysis of Survival Outcomes with Application to the Framingham Heart Study
There is an increasing trend of research in mediation analysis for survi...
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08/09/2021
On the Hyperparameters in Stochastic Gradient Descent with Momentum
Following the same routine as [SSJ20], we continue to present the theore...
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04/15/2020
On Learning Rates and Schrödinger Operators
The learning rate is perhaps the single most important parameter in the ...
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02/11/2019
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
We study first-order optimization methods obtained by discretizing ordin...
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10/21/2018
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations
Gradient-based optimization algorithms can be studied from the perspecti...
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08/27/2017
