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20102023
most citedIncentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate versus Time-of-Day Pricing

34 citations · 141 across the 44 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.SY2023

Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification

Rahman Khorramfar, Morgan Santoni-Colvin, Saurabh Amin +3

Building heat electrification is central to economy-wide decarbonization efforts and directly affects energy infrastructure planning through increasing electricity demand and reduc…

cs.GT2023★ 1 cited

Market Design for Capacity Sharing in Networks

Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary +1

We study a market mechanism that sets edge prices to incentivize strategic agents to efficiently share limited network capacity. In this market, agents form coalitions, with each c…

math.OC2023★ 1 cited

Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference

Samarth Gupta, Saurabh Amin

We focus on the problem of uncertainty informed allocation of medical resources (vaccines) to heterogeneous populations for managing epidemic spread. We tackle two related question…

math.OC2023★ 1 cited

Strategic Monitoring of Networked Systems with Heterogeneous Security Levels

Jezdimir Milosevic, Mathieu Dahan, Saurabh Amin +1

We consider a strategic network monitoring problem involving the operator of a networked system and an attacker. The operator aims to randomize the placement of multiple protected…

cs.LG2023

Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems

Aron Brenner, Rahman Khorramfar, Saurabh Amin

Effective investment planning decisions are crucial to ensure cyber-physical infrastructures satisfy performance requirements over an extended time horizon. Computing these decisio…

cs.LG2023

Effective Dimension in Bandit Problems under Censorship

Gauthier Guinet, Saurabh Amin, Patrick Jaillet

In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of c…