Patrick Jaillet

272 papers A* 52A 10B 6C 2Misc 2Journal 168Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming. CoRR Haoran Xu, Owen Shen, Peter W. Glynn, Yinyu Ye, Patrick Jaillet
2026	J	`jnl`	A Two-Layer Framework for Joint Online Configuration Selection and Admission Control. CoRR Owen Shen, Haoran Xu, Yinyu Ye, Peter W. Glynn, Patrick Jaillet
2026	J	`jnl`	Choice-Model-Assisted Q-learning for Delayed-Feedback Revenue Management. CoRR Owen Shen, Patrick Jaillet
2026	J	`jnl`	Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise. CoRR Rafael Hanashiro, Abhishek Shetty, Patrick Jaillet
2026	J	`jnl`	Market Design for Capacity Sharing in Networks. ACM Trans. Economics and Comput. Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu
2025	J	`jnl`	A Locational Demand Model for Bike-Sharing. Manuf. Serv. Oper. Manag. Ang Xu, Chiwei Yan, Chong Yang Goh, Patrick Jaillet
2025	A	`conf`	A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries. AISTATS Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet
2025	J	`jnl`	Double Machine Learning Based Structure Identification from Temporal Data. Trans. Mach. Learn. Res. Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
2025	J	`jnl`	Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints. CoRR Yan Dai, Negin Golrezaei, Patrick Jaillet
2025	A*	`conf`	Learning with Exact Invariances in Polynomial Time. ICML Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet
2025	J	`jnl`	Learning with Exact Invariances in Polynomial Time. CoRR Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet
2025	J	`jnl`	Multi-Timescale Gradient Sliding for Distributed Optimization. CoRR Junhui Zhang, Patrick Jaillet
2025	J	`jnl`	Multi-drone rescue search in a large network. Eur. J. Oper. Res. Victor Gonzalez, Patrick Jaillet
2025	A*	`conf`	Neural Dueling Bandits: Preference-Based Optimization with Human Feedback. ICLR Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low
2025	A*	`conf`	Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract). COLT Yan Dai, Moïse Blanchard, Patrick Jaillet
2025	J	`jnl`	Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely. CoRR Yan Dai, Moïse Blanchard, Patrick Jaillet
2025	J	`jnl`	Portfolio Optimization Based on Almost Second-Degree Stochastic Dominance. Manag. Sci. Chunling Luo, Piao Chen, Patrick Jaillet
2025	J	`jnl`	Quadratic Memory Is Necessary for Optimal Query Complexity in Convex Optimization: Center of Mass Is Pareto Optimal. Math. Oper. Res. Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2024	A*	`conf`	A Universal Class of Sharpness-Aware Minimization Algorithms. ICML Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet
2024	J	`jnl`	A Universal Class of Sharpness-Aware Minimization Algorithms. CoRR Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet
2024	A*	`conf`	Active Set Ordering. NeurIPS Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet
2024	A*	`conf`	Deletion-Anticipative Data Selection with a Limited Budget. ICML Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. CoRR Patrick Jaillet, Chara Podimata, Zijie Zhou
2024	J	`jnl`	Incentives in Private Collaborative Machine Learning. CoRR Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
2024	A*	`conf`	Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. WWW Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni
2024	A*	`conf`	Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes. ICLR Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2024	J	`jnl`	Near-Optimal Mechanisms for Resource Allocation Without Monetary Transfers. CoRR Moïse Blanchard, Patrick Jaillet
2024	J	`jnl`	Neural Dueling Bandits. CoRR Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low
2024	A*	`conf`	Optimistic Bayesian Optimization with Unknown Constraints. ICLR Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
2024	J	`jnl`	Probabilistic Bounds on the Math. Oper. Res. Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2024	A*	`conf`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. NeurIPS Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Prompt Optimization with Human Feedback. CoRR Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	A*	`conf`	Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023	A*	`conf`	Batch Bayesian Optimization For Replicable Experimental Design. NeurIPS Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Batch Bayesian Optimization for Replicable Experimental Design. CoRR Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Contextual Bandits and Optimistically Universal Learning. CoRR Moïse Blanchard, Steve Hanneke, Patrick Jaillet
2023	A*	`conf`	DRCFS: Doubly Robust Causal Feature Selection. ICML Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
2023	J	`jnl`	DRCFS: Doubly Robust Causal Feature Selection. CoRR Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
2023	J	`jnl`	Distribution-Dependent Rates for Multi-Distribution Learning. CoRR Rafael Hanashiro, Patrick Jaillet
2023	J	`jnl`	Doubly Robust Structure Identification from Temporal Data. CoRR Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
2023	J	`jnl`	Edge-Weighted Online Windowed Matching. Math. Oper. Res. Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley
2023	J	`jnl`	Effective Dimension in Bandit Problems under Censorship. CoRR Gauthier Guinet, Saurabh Amin, Patrick Jaillet
2023	A*	`conf`	Federated Neural Bandits. ICLR Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2023	A	`conf`	Incentive-aware Contextual Pricing with Non-parametric Market Noise. AISTATS Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
2023	A*	`conf`	Incentives in Private Collaborative Machine Learning. NeurIPS Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Information Design for Hybrid Work under Infectious Disease Transmission Risk. CoRR Sohil Shah, Saurabh Amin, Patrick Jaillet
2023	—	`conf`	Information Disclosure About Booster Efficacy in a Non-Stationary Environment. CDC Sohil Shah, Saurabh Amin, Patrick Jaillet
2023	J	`jnl`	Market Design for Dynamic Pricing and Pooling in Capacitated Networks. CoRR Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu
2023	J	`jnl`	Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes. CoRR Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023	A*	`conf`	Memory-Constrained Algorithms for Convex Optimization. NeurIPS Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023	A*	`conf`	Multi-channel Autobidding with Budget and ROI Constraints. ICML Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni
2023	J	`jnl`	Multi-channel Autobidding with Budget and ROI Constraints. CoRR Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni
2023	J	`jnl`	Non-stationary Contextual Bandits and Universal Learning. CoRR Moïse Blanchard, Steve Hanneke, Patrick Jaillet
2023	J	`jnl`	Online Resource Allocation with Convex-set Machine-Learned Advice. CoRR Negin Golrezaei, Patrick Jaillet, Zijie Zhou
2023	A	`conf`	Pricing against a Budget and ROI Constrained Buyer. AISTATS Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni
2023	A*	`conf`	Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. COLT Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023	J	`jnl`	Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. CoRR Moïse Blanchard, Junhui Zhang, Patrick Jaillet
2023	A*	`conf`	Quantum Bayesian Optimization. NeurIPS Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Quantum Bayesian Optimization. CoRR Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2023	A*	`conf`	Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation. ICLR Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet
2023	J	`jnl`	Secretary Problems with Random Number of Candidates: How Prior Distributional Information Helps. CoRR Junhui Zhang, Patrick Jaillet
2023	J	`jnl`	Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023	A*	`conf`	Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. ICLR Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
2022	J	`jnl`	Additional Results and Extensions for the paper "Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem". CoRR Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2022	J	`jnl`	An iterative security game for computing robust and adaptive network flows. Comput. Oper. Res. Supriyo Ghosh, Patrick Jaillet
2022	A*	`conf`	Effective Dimension in Bandit Problems under Censorship. NeurIPS Gauthier Guinet, Saurabh Amin, Patrick Jaillet
2022	J	`jnl`	Fairness in the Autobidding World with Machine-learned Advice. CoRR Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni
2022	J	`jnl`	Federated Neural Bandit. CoRR Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2022	J	`jnl`	On Provably Robust Meta-Bayesian Optimization. CoRR Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	A	`conf`	On provably robust meta-Bayesian optimization. UAI Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	—	`conf`	Optimal Information Provision for Strategic Hybrid Workers. CDC Sohil Shah, Saurabh Amin, Patrick Jaillet
2022	J	`jnl`	Optimal Information Provision for Strategic Hybrid Workers. CoRR Sohil Shah, Saurabh Amin, Patrick Jaillet
2022	J	`jnl`	Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem. CoRR Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet
2022	J	`jnl`	Probability Distributions on Partially Ordered Sets and Network Interdiction Games. Math. Oper. Res. Mathieu Dahan, Saurabh Amin, Patrick Jaillet
2022	J	`jnl`	Rectified Max-Value Entropy Search for Bayesian Optimization. CoRR Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2022	A*	`conf`	Sample-Then-Optimize Batch Neural Thompson Sampling. NeurIPS Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	J	`jnl`	Sample-Then-Optimize Batch Neural Thompson Sampling. CoRR Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
2022	J	`jnl`	Satisficing Models Under Uncertainty. INFORMS J. Optim. Patrick Jaillet, Sanjay Dominik Jena, Tsan Sheng Adam Ng, Melvyn Sim
2022	J	`jnl`	Strategic Workforce Planning Under Uncertainty. Oper. Res. Patrick Jaillet, Gar Goei Loke, Melvyn Sim
2022	A*	`conf`	Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning. NeurIPS Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2022	J	`jnl`	Universal Regression with Adversarial Responses. CoRR Moïse Blanchard, Patrick Jaillet
2022	J	`jnl`	Weighted Maximum Entropy Inverse Reinforcement Learning. CoRR The Viet Bui, Tien Anh Mai, Patrick Jaillet
2021	A*	`conf`	An Information-Theoretic Framework for Unifying Active Learning Problems. AAAI Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Bidding and Pricing in Budget and ROI Constrained Markets. CoRR Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab S. Mirrokni
2021	A*	`conf`	Collaborative Bayesian Optimization with Fair Regret. ICML Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet
2021	B	`conf`	Convolutional Normalizing Flows for Deep Gaussian Processes. IJCNN Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Convolutional Normalizing Flows for Deep Gaussian Processes. CoRR Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet
2021	A*	`conf`	Differentially Private Federated Bayesian Optimization with Distributed Exploration. NeurIPS Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Differentially Private Federated Bayesian Optimization with Distributed Exploration. CoRR Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Efficient Carpooling and Toll Pricing for Autonomous Transportation. CoRR Saurabh Amin, Patrick Jaillet, Manxi Wu
2021	J	`jnl`	Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios. INFORMS J. Comput. Hossein Hashemi Doulabi, Patrick Jaillet, Gilles Pesant, Louis-Martin Rousseau
2021	A	`conf`	Learning to learn with Gaussian processes. UAI Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2021	A*	`conf`	Model Fusion for Personalized Learning. ICML Thanh Chi Lam, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Online Resource Allocation Under Partially Predictable Demand. Oper. Res. Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi
2021	A*	`conf`	Optimizing Conditional Value-At-Risk of Black-Box Functions. NeurIPS Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Planning a multi-sensors search for a moving target considering traveling costs. Eur. J. Oper. Res. Florian Delavernhe, Patrick Jaillet, André Rossi, Marc Sevaux
2021	J	`jnl`	Robust Entropy-regularized Markov Decision Processes. CoRR Tien Mai, Patrick Jaillet
2021	J	`jnl`	The Robust Vehicle Routing Problem with Time Window Assignments. Transp. Sci. Maaike Hoogeboom, Yossiri Adulyasak, Wout Dullaert, Patrick Jaillet
2021	A*	`conf`	Top-k Ranking Bayesian Optimization. AAAI Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization. CoRR Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet
2021	A	`conf`	Trusted-maximizers entropy search for efficient Bayesian optimization. UAI Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet
2021	A*	`conf`	Value-at-Risk Optimization with Gaussian Processes. ICML Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Value-at-Risk Optimization with Gaussian Processes. CoRR Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021	J	`jnl`	Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	J	`jnl`	A Relation Analysis of Markov Decision Process Frameworks. CoRR Tien Mai, Patrick Jaillet
2020	J	`jnl`	An Information-Theoretic Framework for Unifying Active Learning Problems. CoRR Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	An improved lower bound for the Traveling Salesman constant. Oper. Res. Lett. Julia Gaudio, Patrick Jaillet
2020	A	`conf`	Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	J	`jnl`	Competitive Ratios for Online Multi-capacity Ridesharing. CoRR Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	J	`jnl`	Estimating Travel Time Distributions by Bayesian Network Inference. IEEE Trans. Intell. Transp. Syst. Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet
2020	A*	`conf`	Federated Bayesian Optimization via Thompson Sampling. NeurIPS Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	Federated Bayesian Optimization via Thompson Sampling. CoRR Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	Learning Structure in Nested Logit Models. CoRR Youssef M. Aboutaleb, Moshe E. Ben-Akiva, Patrick Jaillet
2020	A*	`conf`	Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion. ICML Trong Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet
2020	A*	`conf`	No-regret Learning in Price Competitions under Consumer Reference Effects. NeurIPS Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
2020	J	`jnl`	No-regret Learning in Price Competitions under Consumer Reference Effects. CoRR Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
2020	—	`conf`	Optimizing Onsite Food Services at Scale. SIGSPATIAL/GIS Konstantina Mellou, Luke Marshall, Krishna Chintalapudi, Patrick Jaillet, Ishai Menache
2020	A*	`conf`	R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. ICML Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho
2020	J	`jnl`	R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. CoRR Zhongxiang Dai, Yizhou Chen, Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho
2020	J	`jnl`	Top-k Ranking Bayesian Optimization. CoRR Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet
2020	A*	`conf`	Variational Bayesian Unlearning. NeurIPS Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	Variational Bayesian Unlearning. CoRR Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2020	J	`jnl`	Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2019	J	`jnl`	An Iterative Security Game for Computing Robust and Adaptive Network Flows. CoRR Supriyo Ghosh, Patrick Jaillet
2019	A*	`conf`	Bayesian Optimization Meets Bayesian Optimal Stopping. ICML Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2019	A*	`conf`	Edge Weighted Online Windowed Matching. EC Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley
2019	J	`jnl`	Exponential convergence rates for stochastically ordered Markov processes under perturbation. Syst. Control. Lett. Julia Gaudio, Saurabh Amin, Patrick Jaillet
2019	J	`jnl`	Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. CoRR Tien Mai, Kennard Chan, Patrick Jaillet
2019	A*	`conf`	Implicit Posterior Variational Inference for Deep Gaussian Processes. NeurIPS Haibin Yu, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Zhongxiang Dai
2019	J	`jnl`	Implicit Posterior Variational Inference for Deep Gaussian Processes. CoRR Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
2019	A*	`conf`	Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. IJCAI Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet
2019	J	`jnl`	Incentive-aware Contextual Pricing with Non-parametric Market Noise. CoRR Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
2019	J	`jnl`	Inverse Reinforcement Learning with Missing Data. CoRR Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
2019	J	`jnl`	On Matching and Thickness in Heterogeneous Dynamic Markets. Oper. Res. Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi
2019	J	`jnl`	Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications. Oper. Res. Dimitris Bertsimas, Patrick Jaillet, Sébastien Martin
2019	J	`jnl`	Optimal Explanations of Linear Models. CoRR Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2019	J	`jnl`	Robust Multi-product Pricing under General Extreme Value Models. CoRR Tien Mai, Patrick Jaillet
2019	J	`jnl`	Separable Convex Optimization with Nested Lower and Upper Constraints. INFORMS J. Optim. Thibaut Vidal, Daniel Gribel, Patrick Jaillet
2019	B	`conf`	Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. IJCNN Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
2019	J	`jnl`	The Eur. J. Oper. Res. Dimitris Bertsimas, Patrick Jaillet, Nikita Korolko
2019	—	`conf`	The Price of Anarchy: Centralized versus Distributed Resource Allocation Trade-offs. ICAART (1) Jinhong K. Guo, Alexander Karlovitz, Patrick Jaillet, Martin O. Hofmann
2019	J	`jnl`	The Price of Interpretability. CoRR Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2019	J	`jnl`	Travel Time Estimation in the Age of Big Data. Oper. Res. Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2019	A*	`conf`	ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2018	J	`jnl`	A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations. Eur. J. Oper. Res. Virgile Galle, Cynthia Barnhart, Patrick Jaillet
2018	J	`jnl`	An Integrated Likelihood Formulation for Characterizing the Proximity of Position Measurements to Road Segments. IEEE Trans. Intell. Transp. Syst. Ali Oran, Patrick Jaillet
2018	J	`jnl`	Maximizing Efficiency in Dynamic Matching Markets. CoRR Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Amin Saberi
2018	J	`jnl`	Maximum Weight Online Matching with Deadlines. CoRR Itai Ashlagi, Maximilien Burq, Chinmoy Dutta, Patrick Jaillet, Amin Saberi, Chris Sholley
2018	J	`jnl`	Online Resource Allocation under Partially Predictable Demand. CoRR Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi
2018	J	`jnl`	Online scheduling with multi-state machines. Networks Dawsen Hwang, Patrick Jaillet
2018	J	`jnl`	Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2018	J	`jnl`	Probability Distributions on Partially Ordered Sets and Network Security Games. CoRR Mathieu Dahan, Saurabh Amin, Patrick Jaillet
2018	J	`jnl`	Robust Adaptive Routing Under Uncertainty. Oper. Res. Arthur Flajolet, Sebastien Blandin, Patrick Jaillet
2018	—	`conf`	Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CDC Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet
2018	J	`jnl`	Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CoRR Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet
2018	J	`jnl`	The Stochastic Container Relocation Problem. Transp. Sci. Virgile Galle, Vahideh H. Manshadi, S. Borjian Boroujeni, Cynthia Barnhart, Patrick Jaillet
2018	J	`jnl`	Yard Crane Scheduling for container storage, retrieval, and relocation. Eur. J. Oper. Res. Virgile Galle, Cynthia Barnhart, Patrick Jaillet
2017	J	`jnl`	An algorithm with performance guarantee for the Online Container Relocation Problem. Eur. J. Oper. Res. Elisabeth Zehendner, Dominique Feillet, Patrick Jaillet
2017	B	`conf`	Discrete Newton's Algorithm for Parametric Submodular Function Minimization. IPCO Michel X. Goemans, Swati Gupta, Patrick Jaillet
2017	J	`jnl`	Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. J. Artif. Intell. Res. Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2017	—	`conf`	Estimating travel time distributions using copula graphical lasso. ITSC Anatolii Prokhorchuk, Vishnu Prasad Payyada, Justin Dauwels, Patrick Jaillet
2017	—	`conf`	Estimation of travel time from taxi GPS data. SSCI Kelvin Lee, Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet
2017	—	`conf`	Online Learning with a Hint. NIPS Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet
2017	A*	`conf`	Online Repositioning in Bike Sharing Systems. ICAPS Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet
2017	—	`conf`	Real-Time Bidding with Side Information. NIPS Arthur Flajolet, Patrick Jaillet
2017	—	`conf`	Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. ITSC Jian Wen, Jinhua Zhao, Patrick Jaillet
2017	J	`jnl`	Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet
2017	J	`jnl`	Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. CoRR Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet
2017	J	`jnl`	The Stochastic Container Relocation Problem. CoRR Virgile Galle, Setareh Borjian Boroujeni, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet
2016	J	`jnl`	A Decomposition Algorithm for Nested Resource Allocation Problems. SIAM J. Optim. Thibaut Vidal, Patrick Jaillet, Nelson Maculan
2016	J	`jnl`	A stochastic algorithm for online bipartite resource allocation problems. Comput. Oper. Res. Antoine Legrain, Patrick Jaillet
2016	J	`jnl`	An average-case asymptotic analysis of the Container Relocation Problem. Oper. Res. Lett. Virgile Galle, S. Borjian Boroujeni, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet
2016	A*	`conf`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
2016	J	`jnl`	Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2016	J	`jnl`	Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines. Transp. Sci. Yossiri Adulyasak, Patrick Jaillet
2016	J	`jnl`	On Centralized and Decentralized Architectures for Traffic Applications. IEEE Trans. Intell. Transp. Syst. Nikola Mitrovic, Aditya Narayanan, Muhammad Tayyab Asif, Ansar Rauf, Justin Dauwels, Patrick Jaillet
2016	A*	`conf`	On Matching and Thickness in Heterogeneous Dynamic Markets. EC Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi
2016	J	`jnl`	On Matching and Thickness in Heterogeneous Dynamic Markets. CoRR Itai Ashlagi, Maximilien Burq, Patrick Jaillet, Vahideh H. Manshadi
2016	A*	`conf`	Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2016	J	`jnl`	Routing Optimization Under Uncertainty. Oper. Res. Patrick Jaillet, Jin Qi, Melvyn Sim
2016	J	`jnl`	Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. CoRR Swati Gupta, Michel X. Goemans, Patrick Jaillet
2016	J	`jnl`	Structured Prediction by Least Squares Estimated Conditional Risk Minimization. CoRR Chong Yang Goh, Patrick Jaillet
2015	J	`jnl`	Average-Case Performance of Rollout Algorithms for Knapsack Problems. J. Optim. Theory Appl. Andrew Mastin, Patrick Jaillet
2015	J	`jnl`	Container Relocation Problem: Approximation, Asymptotic, and Incomplete Information. CoRR Setareh Borjian, Virgile Galle, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet
2015	—	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. AAAI Workshop: AI for Cities Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	A*	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	B	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. SOCS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	J	`jnl`	Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. IEEE Trans Autom. Sci. Eng. Jie Chen, Kian Hsiang Low, Yujian Yao, Patrick Jaillet
2015	J	`jnl`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
2015	—	`conf`	Inverse Reinforcement Learning with Locally Consistent Reward Functions. NIPS Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
2015	J	`jnl`	Low regret bounds for Bandits with Knapsacks. CoRR Arthur Flajolet, Patrick Jaillet
2015	J	`jnl`	Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. IEEE Trans. Intell. Transp. Syst. Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2015	J	`jnl`	Managing Relocation and Delay in Container Terminals with Flexible Service Policies. CoRR Setareh Borjian, Vahideh H. Manshadi, Cynthia Barnhart, Patrick Jaillet
2015	J	`jnl`	Near-Lossless Compression for Large Traffic Networks. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Kannan Srinivasan, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2015	A*	`conf`	On the Quickest Flow Problem in Dynamic Networks - A Parametric Min-Cost Flow Approach. SODA Maokai Lin, Patrick Jaillet
2015	A*	`conf`	Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. AAAI Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
2015	B	`conf`	Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. ISAAC Andrew Mastin, Patrick Jaillet, Sang Chin
2015	A*	`conf`	Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty. AAAI Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet
2015	—	`conf`	Travel Time Estimation Using Speed Predictions. ITSC Aditya Narayanan, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2014	J	`jnl`	A Decomposition Algorithm for Nested Resource Allocation Problems. CoRR Thibaut Vidal, Patrick Jaillet, Nelson Maculan
2014	—	`conf`	Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. ECML/PKDD (3) Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli
2014	Misc	`conf`	Compressed prediction of large-scale urban traffic. ICASSP Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2014	J	`jnl`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. CoRR Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2014	A*	`conf`	Decentralized Stochastic Planning with Anonymity in Interactions. AAAI Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2014	J	`jnl`	Distributed Multi-Depot Routing without Communications. CoRR Dawsen Hwang, Patrick Jaillet, Zhengyuan Zhou
2014	—	`conf`	Evaluation of smart-phone performance for real-time traffic prediction. ITSC Rauf Ansar, Paron Sarampakhul, Soham Ghosh, Nikola Mitrovic, Muhammad Tayyab Asif, Justin Dauwels, Patrick Jaillet
2014	C	`conf`	Extracting commuting patterns in railway networks through matrix decompositions. ICARCV Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet
2014	A	`conf`	Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. AAMAS Ruofei Ouyang, Kian Hsiang Low, Jie Chen, Patrick Jaillet
2014	J	`jnl`	No-Regret Learnability for Piecewise Linear Losses. CoRR Arthur Flajolet, Patrick Jaillet
2014	A*	`conf`	Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes. ICML Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli
2014	J	`jnl`	Online Stochastic Matching: New Algorithms with Better Bounds. Math. Oper. Res. Patrick Jaillet, Xin Lu
2014	J	`jnl`	Online traveling salesman problems with rejection options. Networks Patrick Jaillet, Xin Lu
2014	J	`jnl`	Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. CoRR Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet
2014	J	`jnl`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. CoRR Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2014	C	`conf`	Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet
2014	J	`jnl`	Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. CoRR Andrew Mastin, Patrick Jaillet, Sang Chin
2014	—	`conf`	Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. DyDESS Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu, Patrick Jaillet
2014	J	`jnl`	Robust Adaptive Routing Under Uncertainty. CoRR Arthur Flajolet, Sebastien Blandin, Patrick Jaillet
2014	J	`jnl`	Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. IEEE Trans. Intell. Transp. Syst. Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet
2014	—	`conf`	Wavelets on graphs with application to transportation networks. ITSC Menoth Mohan Dhanya, Muhammad Tayyab Asif, Nikola Mitrovic, Justin Dauwels, Patrick Jaillet
2013	—	`conf`	A precise proximity-weight formulation for map matching algorithms. WPNC Ali Oran, Patrick Jaillet
2013	B	`conf`	Advances on Matroid Secretary Problems: Free Order Model and Laminar Case. IPCO Patrick Jaillet, José A. Soto, Rico Zenklusen
2013	—	`conf`	An HMM-based map matching method with cumulative proximity-weight formulation. ICCVE Ali Oran, Patrick Jaillet
2013	J	`jnl`	Average-Case Performance of Rollout Algorithms for Knapsack Problems CoRR Andrew Mastin, Patrick Jaillet
2013	—	`conf`	Bayesian Support Vector Regression for traffic speed prediction with error bars. ITSC Gaurav Gopi, Justin Dauwels, Muhammad Tayyab Asif, Sridhar Ashwin, Nikola Mitrovic, Umer Rasheed, Patrick Jaillet
2013	—	`conf`	CUR decomposition for compression and compressed sensing of large-scale traffic data. ITSC Nikola Mitrovic, Muhammad Tayyab Asif, Umer Rasheed, Justin Dauwels, Patrick Jaillet
2013	—	`conf`	Data compression techniques for urban traffic data. CIVTS Muhammad Tayyab Asif, Kannan Srinivasan, Justin Dauwels, Patrick Jaillet
2013	J	`jnl`	Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks. CoRR Thomas Holleczek, Liang Yu, Joseph K. Lee, Oliver Senn, Kristian Kloeckl, Carlo Ratti, Patrick Jaillet
2013	J	`jnl`	Greedy Online Bipartite Matching on Random Graphs. CoRR Andrew Mastin, Patrick Jaillet
2013	J	`jnl`	Kidney Exchange in Dynamic Sparse Heterogenous Pools CoRR Itai Ashlagi, Patrick Jaillet, Vahideh H. Manshadi
2013	A*	`conf`	Kidney exchange in dynamic sparse heterogenous pools. EC Itai Ashlagi, Patrick Jaillet, Vahideh H. Manshadi
2013	Misc	`conf`	Low-dimensional models for missing data imputation in road networks. ICASSP Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg, Justin Dauwels, Patrick Jaillet
2013	J	`jnl`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations CoRR Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2013	A	`conf`	Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. UAI Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet
2013	—	`conf`	Regret based Robust Solutions for Uncertain Markov Decision Processes. NIPS Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2012	J	`jnl`	Advances on Matroid Secretary Problems: Free Order Model and Laminar Case CoRR Patrick Jaillet, José A. Soto, Rico Zenklusen
2012	J	`jnl`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena CoRR Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2012	A	`conf`	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. UAI Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme
2012	—	`conf`	Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents. IAT Jiangbo Yu, Kian Hsiang Low, Ali Oran, Patrick Jaillet
2012	—	`conf`	Location and Routing Models for Emergency Response Plans with Priorities. Future Security Ali Oran, Kiat Chuan Tan, Boon Hooi Ooi, Melvyn Sim, Patrick Jaillet
2012	—	`conf`	Loss bounds for uncertain transition probabilities in Markov decision processes. CDC Andrew Mastin, Patrick Jaillet
2012	J	`jnl`	Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems CoRR Patrick Jaillet, Xin Lu
2012	—	`conf`	Online map-matching based on Hidden Markov model for real-time traffic sensing applications. ITSC Chong Yang Goh, Justin Dauwels, Nikola Mitrovic, Muhammad Tayyab Asif, Ali Oran, Patrick Jaillet
2012	—	`conf`	Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. ITSC Muhammad Tayyab Asif, Justin Dauwels, Chong Yang Goh, Ali Oran, Esmail Fathi, Muye Xu, Menoth Mohan Dhanya, Nikola Mitrovic, Patrick Jaillet
2011	J	`jnl`	Machine Learning and the Traveling Repairman CoRR Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet
2011	J	`jnl`	Online traveling salesman problems with service flexibility. Networks Patrick Jaillet, Xin Lu
2011	—	`conf`	The Machine Learning and Traveling Repairman Problem. ADT Theja Tulabandhula, Cynthia Rudin, Patrick Jaillet
2010	J	`jnl`	A priori parallel machines scheduling. Comput. Ind. Eng. Zied Bouyahia, Monia Bellalouna, Patrick Jaillet, Khaled Ghédira
2010	J	`jnl`	Almost sure asymptotic optimality for online routing and machine scheduling problems. Networks Patrick Jaillet, Michael R. Wagner
2009	—	`conf`	A Priori Strategies for the Probabilistic Total Weighted Flowtime on Parallel Identical Machines Problem. FCS Zied Bouyahia, Monia Bellalouna, Khaled Ghédira, Patrick Jaillet
2009	—	`conf`	Online Traveling Salesman Problems with Flexibility. Models and Algorithms for Optimization in Logistics Patrick Jaillet, Xin Lu
2008	J	`jnl`	Generalized Online Routing: New Competitive Ratios, Resource Augmentation, and Asymptotic Analyses. Oper. Res. Patrick Jaillet, Michael R. Wagner
2007	J	`jnl`	Pricing in Dynamic Vehicle Routing Problems. Transp. Sci. Miguel Andres Figliozzi, Hani S. Mahmassani, Patrick Jaillet
2006	J	`jnl`	Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios. Transp. Sci. Patrick Jaillet, Michael R. Wagner
2004	J	`jnl`	Real-Time Multivehicle Truckload Pickup and Delivery Problems. Transp. Sci. Jian Yang, Patrick Jaillet, Hani S. Mahmassani
2004	J	`jnl`	Valuation of Commodity-Based Swing Options. Manag. Sci. Patrick Jaillet, Ehud I. Ronn, Stathis Tompaidis
2002	J	`jnl`	Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework. Transp. Sci. Patrick Jaillet, Jonathan F. Bard, Liu Huang, Moshe Dror
2002	J	`jnl`	Note: Online Searching / on the Optimality of the Geometric Sequences for the Oper. Res. Patrick Jaillet, Matthew Stafford, Shmuel Gal
2001	J	`jnl`	Online Searching. Oper. Res. Patrick Jaillet, Matthew Stafford
1999	—	`ch.`	Discrete Probability. Handbook of Discrete and Combinatorial Mathematics Joseph R. Barr, Peter R. Turner, Patrick Jaillet, Vidyadhar G. Kulkarni, Lawrence M. Leemis
1998	J	`jnl`	A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities. Transp. Sci. Jonathan F. Bard, Liu Huang, Patrick Jaillet, Moshe Dror
1997	J	`jnl`	TSS Dissertation Abstracts - Abstracts for the 1996 Transportation Science Section Dissertation Prize Competition. Transp. Sci. Patrick Jaillet
1995	J	`jnl`	On properties of geometric random problems in the plane. Ann. Oper. Res. Patrick Jaillet
1994	J	`jnl`	Bibliographic Section. Transp. Sci. Patrick Jaillet, David Bernstein, John D. Leonard II, Dean Taylor
1994	J	`jnl`	On reliability of graphs with node failures. Networks Olivier Goldschmidt, Patrick Jaillet, Richard Lasota
1993	J	`jnl`	Analysis of Probabilistic Combinatorial Optimization Problems in Euclidean Spaces. Math. Oper. Res. Patrick Jaillet
1993	J	`jnl`	Rate of convergence for the Euclidean minimum spanning tree limit law. Oper. Res. Lett. Patrick Jaillet
1992	J	`jnl`	Rates of Convergence for Quasi-Additive Smooth Euclidean Functionals and Application to Combinatorial Optimization Problems. Math. Oper. Res. Patrick Jaillet
1992	J	`jnl`	Shortest path problems with node failures. Networks Patrick Jaillet
1990	J	`jnl`	A Priori Optimization. Oper. Res. Dimitris J. Bertsimas, Patrick Jaillet, Amedeo R. Odoni
1988	J	`jnl`	A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of the Customers Are Visited. Oper. Res. Patrick Jaillet