research
∙
06/13/2023
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
The past decade has witnessed the flourishing of a new profession as med...
share
research
∙
06/02/2022
BayesFormer: Transformer with Uncertainty Estimation
Transformer has become ubiquitous due to its dominant performance in var...
research
∙
03/16/2021
Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising
We study the problem of an online advertising system that wants to optim...
research
∙
03/12/2021
Beyond log^2(T) Regret for Decentralized Bandits in Matching Markets
We design decentralized algorithms for regret minimization in the two-si...
research
∙
07/14/2020
Robust Identifiability in Linear Structural Equation Models of Causal Inference
In this work, we consider the problem of robust parameter estimation fro...
research
∙
06/26/2020
Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation
We study regret minimization problems in a two-sided matching market whe...
research
∙
02/01/2020
Advances in Bandits with Knapsacks
"Bandits with Knapsacks" () is a general model for multi-armed bandits u...
research
∙
12/18/2019
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
Rideshare platforms, when assigning requests to drivers, tend to maximiz...
research
∙
11/30/2019
Mix and Match: Markov Chains Mixing Times for Matching in Rideshare
Rideshare platforms such as Uber and Lyft dynamically dispatch drivers t...
research
∙
05/16/2019
Stability of Linear Structural Equation Models of Causal Inference
We consider the numerical stability of the parameter recovery problem in...
research
∙
11/28/2018
Adversarial Bandits with Knapsacks
We consider Bandits with Knapsacks (henceforth, BwK), a general model fo...
research
∙
11/13/2018
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
In bipartite matching problems, vertices on one side of a bipartite grap...
research
∙
04/22/2018
Attenuate Locally, Win Globally: An Attenuation-based Framework for Online Stochastic Matching with Timeouts
Online matching problems have garnered significant attention in recent y...
research
∙
11/07/2017
