Publications (35)
The Stochastic Container Relocation Problem
Virgile Galle, Setareh Borjian Boroujeni, Vahideh H. Manshadi +2
Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems
Patrick Jaillet, Xin Lu
Separable Convex Optimization with Nested Lower and Upper Constraints
Thibaut Vidal, Daniel Gribel, Patrick Jaillet
Robust Adaptive Routing Under Uncertainty
Arthur Flajolet, Sebastien Blandin, Patrick Jaillet
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie Chen, Nannan Cao, Kian Hsiang Low +3
Maximum Weight Online Matching with Deadlines
Itai Ashlagi, Maximilien Burq, Chinmoy Dutta +3
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan +4
Average-Case Performance of Rollout Algorithms for Knapsack Problems
Andrew Mastin, Patrick Jaillet
Managing Relocation and Delay in Container Terminals with Flexible Service Policies
Setareh Borjian, Vahideh H. Manshadi, Cynthia Barnhart +1
On Matching and Thickness in Heterogeneous Dynamic Markets
Itai Ashlagi, Maximillien Burq, Patrick Jaillet +1
Container Relocation Problem: Approximation, Asymptotic, and Incomplete Information
Setareh Borjian, Virgile Galle, Vahideh H. Manshadi +2
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations
Manxi Wu, Li Jin, Saurabh Amin +1
A Decomposition Algorithm for Nested Resource Allocation Problems
Thibaut Vidal, Patrick Jaillet, Nelson Maculan
Log-Quadratic Bounds for the Gaussian Q-function
Andrew Mastin, Patrick Jaillet
Kidney Exchange in Dynamic Sparse Heterogenous Pools
Itai Ashlagi, Patrick Jaillet, Vahideh H. Manshadi
Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases
Swati Gupta, Michel Goemans, Patrick Jaillet
An Improved Lower Bound for the Traveling Salesman Constant
Julia Gaudio, Patrick Jaillet
Greedy Online Bipartite Matching on Random Graphs
Andrew Mastin, Patrick Jaillet
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan +4
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low +1
Maximizing Efficiency in Dynamic Matching Markets
Itai Ashlagi, Maximilien Burq, Patrick Jaillet +1
Optimal Explanations of Linear Models
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet +1
The Price of Interpretability
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet +1
Advances on Matroid Secretary Problems: Free Order Model and Laminar Case
Patrick Jaillet, José A. Soto, Rico Zenklusen
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie Chen, Nannan Cao, Kian Hsiang Low +3
Online Resource Allocation under Partially Predictable Demand
Dawsen Hwang, Patrick Jaillet, Vahideh Manshadi
Exponential Convergence Rates for Stochastically Ordered Markov Processes with Random Initial Conditions
Julia Gaudio, Saurabh Amin, Patrick Jaillet
Logarithmic regret bounds for Bandits with Knapsacks
Arthur Flajolet, Patrick Jaillet
Structured Prediction by Conditional Risk Minimization
Chong Yang Goh, Patrick Jaillet
No-Regret Learnability for Piecewise Linear Losses
Arthur Flajolet, Patrick Jaillet
Distributed Multi-Depot Routing without Communications
Dawsen Hwang, Patrick Jaillet, Zhengyuan Zhou
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
Kian Hsiang Low, Jiangbo Yu, Jie Chen +1
Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks
Thomas Holleczek, Liang Yu, Joseph K. Lee +4
Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty
Andrew Mastin, Patrick Jaillet, Sang Chin
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet