3 citations · 8 across the 17 of their papers we have counts for
17 papers
Simple vs. Optimal Congestion Pricing
Devansh Jalota, Xuan Di, Adam N. Elmachtoub
Congestion pricing has emerged as an effective tool for mitigating traffic congestion, yet implementing welfare or revenue-optimal dynamic tolls is often impractical. Most real-wor…
Credit-Based vs. Discount-Based Congestion Pricing: A Comparison Study
Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
Credit-based congestion pricing (CBCP) and discount-based congestion pricing (DBCP), which respectively allot travel credits and toll discounts to subsidize low-income users' acces…
Informal and Privatized Transit: Incentives, Efficiency and Coordination
Devansh Jalota, Matthew Tsao
Informal and privatized transit services, such as minibuses and shared auto-rickshaws, are integral to daily travel in large urban metropolises, providing affordable commutes where…
Credit vs. Discount-Based Congestion Pricing: A Comparison Study
Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
Congestion pricing offers a promising traffic management policy for regulating congestion, but has also been criticized for placing outsized financial burdens on low-income users.…
To Spend or to Gain: Online Learning in Repeated Karma Auctions
Damien Berriaud, Ezzat Elokda, Devansh Jalota +3
Recent years have seen a surge of artificial currency-based mechanisms in contexts where monetary instruments are deemed unfair or inappropriate, e.g., in allocating food donations…
Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs
Devansh Jalota, Matthew Tsao, Marco Pavone
Artificial currencies have grown in popularity in many real-world resource allocation settings, gaining traction in government benefits programs like food assistance and transit be…
When Simple is Near Optimal in Security Games
Devansh Jalota, Michael Ostrovsky, Marco Pavone
Fraud is ubiquitous across applications and involve users bypassing the rule of law, often with the strategic aim of obtaining some benefit that would otherwise be unattainable wit…
Online Learning for Equilibrium Pricing in Markets under Incomplete Information
Devansh Jalota, Haoyuan Sun, Navid Azizan
The computation of equilibrium prices at which the supply of goods matches their demand typically relies on complete information on agents' private attributes, e.g., suppliers' cos…
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design
Devansh Jalota, Jessica Lazarus, Alexandre Bayen +1
Credit-based congestion pricing (CBCP) has emerged as a mechanism to alleviate the social inequity concerns of road congestion pricing - a promising strategy for traffic congestion…
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements
Devansh Jalota, Yinyu Ye
Fisher markets are one of the most fundamental models for resource allocation. However, the problem of computing equilibrium prices in Fisher markets typically relies on complete k…
Online Learning for Traffic Routing under Unknown Preferences
Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan +2
In transportation networks, users typically choose routes in a decentralized and self-interested manner to minimize their individual travel costs, which, in practice, often results…
Matching with Transfers under Distributional Constraints
Devansh Jalota, Michael Ostrovsky, Marco Pavone
We study two-sided many-to-one matching markets with transferable utilities, e.g., labor and rental housing markets, in which money can exchange hands between agents, subject to di…
Online Traffic Routing: Deterministic Limits and Data-driven Enhancements
Devansh Jalota, Dario Paccagnan, Maximilian Schiffer +1
Over the past decade, GPS enabled traffic applications, such as Google Maps and Waze, have become ubiquitous and have had a significant influence on billions of daily commuters' tr…
Fisher Markets with Linear Constraints: Equilibrium Properties and Efficient Distributed Algorithms
Devansh Jalota, Marco Pavone, Qi Qi +1
The Fisher market is one of the most fundamental models for resource allocation problems in economic theory, wherein agents spend a budget of currency to buy goods that maximize th…
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes
Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan +3
Congestion pricing has long been hailed as a means to mitigate traffic congestion; however, its practical adoption has been limited due to the resulting social inequity issue, e.g.…
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment
Devansh Jalota, Kiril Solovey, Matthew Tsao +2
System optimum (SO) routing, wherein the total travel time of all users is minimized, is a holy grail for transportation authorities. However, SO routing may discriminate against u…
Markets for Efficient Public Good Allocation with Social Distancing
Devansh Jalota, Qi Qi, Marco Pavone +1
Public goods are often either over-consumed in the absence of regulatory mechanisms, or remain completely unused, as in the Covid-19 pandemic, where social distance constraints are…