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06/24/2022
Achievement and Fragility of Long-term Equitability
Equipping current decision-making tools with notions of fairness, equita...
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03/24/2022
Personalized incentives as feedback design in generalized Nash equilibrium problems
We investigate both stationary and time-varying, nonmonotone generalized...
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11/06/2021
Learning equilibria with personalized incentives in a class of nonmonotone games
We consider quadratic, nonmonotone generalized Nash equilibrium problems...
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05/27/2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression
This paper presents a new regularization approach – termed OpReg-Boost –...
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04/24/2020
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization
We propose a unified framework for time-varying convex optimization base...
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03/02/2020
Smooth Strongly Convex Regression
Convex regression (CR) is the problem of fitting a convex function to a ...
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12/02/2019
A city-scale IoT-enabled ridesharing platform
The advent of on-demand mobility systems is expected to have a tremendou...
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10/17/2019
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications
There is a growing cross-disciplinary effort in the broad domain of opti...
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10/04/2019
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
This paper considers an online proximal-gradient method to track the min...
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06/15/2019
On the needs for MaaS platforms to handle competition in ridesharing mobility
Ridesharing has been emerging as a new type of mobility. However, the ea...
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09/10/2018
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
In tracking of time-varying low-rank models of time-varying matrices, we...
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02/14/2016
