34 citations · 150 across the 33 of their papers we have counts for
4 papers · 1 filter
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman +2
Rideshare platforms, when assigning requests to drivers, tend to maximize profit for the system and/or minimize waiting time for riders. Such platforms can exacerbate biases that d…
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman +3
Rideshare platforms such as Uber and Lyft dynamically dispatch drivers to match riders' requests. We model the dispatching process in rideshare as a Markov chain that takes into ac…
Stability of Linear Structural Equation Models of Causal Inference
Karthik Abinav Sankararaman, Anand Louis, Navin Goyal
We consider the numerical stability of the parameter recovery problem in Linear Structural Equation Model ($\LSEM$) of causal inference. A long line of work starting from Wright (1…
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Karthik A. Sankararaman, Soham De, Zheng Xu +2
This paper studies how neural network architecture affects the speed of training. We introduce a simple concept called gradient confusion to help formally analyze this. When gradie…