A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of the Customers Are Visited. - Patrick Jaillet (Oper. Res., 1988)

A Priori Optimization. - Dimitris J. Bertsimas; Patrick Jaillet; Amedeo R. Odoni (Oper. Res., 1990)

Rates of Convergence for Quasi-Additive Smooth Euclidean Functionals and Application to Combinatorial Optimization Problems. - Patrick Jaillet (Math. Oper. Res., 1992)

Shortest path problems with node failures. - Patrick Jaillet (Networks, 1992)

Analysis of Probabilistic Combinatorial Optimization Problems in Euclidean Spaces. - Patrick Jaillet (Math. Oper. Res., 1993)

Rate of convergence for the Euclidean minimum spanning tree limit law. - Patrick Jaillet (Oper. Res. Lett., 1993)

On reliability of graphs with node failures. - Olivier Goldschmidt; Patrick Jaillet; Richard Lasota (Networks, 1994)

Bibliographic Section. - Patrick Jaillet; David Bernstein; John D. Leonard II; Dean Taylor (Transp. Sci., 1994)

On properties of geometric random problems in the plane. - Patrick Jaillet (Ann. Oper. Res., 1995)

TSS Dissertation Abstracts - Abstracts for the 1996 Transportation Science Section Dissertation Prize Competition. - Patrick Jaillet (Transp. Sci., 1997)

A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities. - Jonathan F. Bard; Liu Huang; Patrick Jaillet; Moshe Dror (Transp. Sci., 1998)

Discrete Probability. - Joseph R. Barr; Peter R. Turner; Patrick Jaillet; Vidyadhar G. Kulkarni; Lawrence M. Leemis (Handbook of Discrete and Combinatorial Mathematics, 1999)

Online Searching. - Patrick Jaillet; Matthew Stafford (Oper. Res., 2001)

Note: Online Searching / on the Optimality of the Geometric Sequences for the m Ray Search Online Searching. - Patrick Jaillet; Matthew Stafford; Shmuel Gal (Oper. Res., 2002)

Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework. - Patrick Jaillet; Jonathan F. Bard; Liu Huang; Moshe Dror (Transp. Sci., 2002)

Valuation of Commodity-Based Swing Options. - Patrick Jaillet; Ehud I. Ronn; Stathis Tompaidis (Manag. Sci., 2004)

Real-Time Multivehicle Truckload Pickup and Delivery Problems. - Jian Yang; Patrick Jaillet; Hani S. Mahmassani (Transp. Sci., 2004)

Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios. - Patrick Jaillet; Michael R. Wagner (Transp. Sci., 2006)

Pricing in Dynamic Vehicle Routing Problems. - Miguel Andres Figliozzi; Hani S. Mahmassani; Patrick Jaillet (Transp. Sci., 2007)

Generalized Online Routing: New Competitive Ratios, Resource Augmentation, and Asymptotic Analyses. - Patrick Jaillet; Michael R. Wagner (Oper. Res., 2008)

Online Traveling Salesman Problems with Flexibility. - Patrick Jaillet; Xin Lu (Models and Algorithms for Optimization in Logistics, 2009)

A Priori Strategies for the Probabilistic Total Weighted Flowtime on Parallel Identical Machines Problem. - Zied Bouyahia; Monia Bellalouna; Khaled Ghédira; Patrick Jaillet (FCS, 2009)

A priori parallel machines scheduling. - Zied Bouyahia; Monia Bellalouna; Patrick Jaillet; Khaled Ghédira (Comput. Ind. Eng., 2010)

Almost sure asymptotic optimality for online routing and machine scheduling problems. - Patrick Jaillet; Michael R. Wagner (Networks, 2010)

The Machine Learning and Traveling Repairman Problem. - Theja Tulabandhula; Cynthia Rudin; Patrick Jaillet (ADT, 2011)

Machine Learning and the Traveling Repairman - Theja Tulabandhula; Cynthia Rudin; Patrick Jaillet (CoRR, 2011)

Online traveling salesman problems with service flexibility. - Patrick Jaillet; Xin Lu (Networks, 2011)

Loss bounds for uncertain transition probabilities in Markov decision processes. - Andrew Mastin; Patrick Jaillet (CDC, 2012)

Location and Routing Models for Emergency Response Plans with Priorities. - Ali Oran; Kiat Chuan Tan; Boon Hooi Ooi; Melvyn Sim; Patrick Jaillet (Future Security, 2012)

Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents. - Jiangbo Yu; Kian Hsiang Low; Ali Oran; Patrick Jaillet (IAT, 2012)

Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network. - Muhammad Tayyab Asif; Justin Dauwels; Chong Yang Goh; Ali Oran; Esmail Fathi; Muye Xu; Menoth Mohan Dhanya; Nikola Mitrovic; Patrick Jaillet (ITSC, 2012)

Online map-matching based on Hidden Markov model for real-time traffic sensing applications. - Chong Yang Goh; Justin Dauwels; Nikola Mitrovic; Muhammad Tayyab Asif; Ali Oran; Patrick Jaillet (ITSC, 2012)

Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena. - Jie Chen 027; Kian Hsiang Low; Colin Keng-Yan Tan; Ali Oran; Patrick Jaillet; John M. Dolan; Gaurav S. Sukhatme (UAI, 2012)

Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems - Patrick Jaillet; Xin Lu (CoRR, 2012)

Data compression techniques for urban traffic data. - Muhammad Tayyab Asif; Kannan Srinivasan; Justin Dauwels; Patrick Jaillet (CIVTS, 2013)

Low-dimensional models for missing data imputation in road networks. - Muhammad Tayyab Asif; Nikola Mitrovic; Lalit Garg; Justin Dauwels; Patrick Jaillet (ICASSP, 2013)

An HMM-based map matching method with cumulative proximity-weight formulation. - Ali Oran; Patrick Jaillet (ICCVE, 2013)

Advances on Matroid Secretary Problems: Free Order Model and Laminar Case. - Patrick Jaillet; José A. Soto; Rico Zenklusen (IPCO, 2013)

Bayesian Support Vector Regression for traffic speed prediction with error bars. - Gaurav Gopi; Justin Dauwels; Muhammad Tayyab Asif; Sridhar Ashwin; Nikola Mitrovic; Umer Rasheed; Patrick Jaillet (ITSC, 2013)

CUR decomposition for compression and compressed sensing of large-scale traffic data. - Nikola Mitrovic; Muhammad Tayyab Asif; Umer Rasheed; Justin Dauwels; Patrick Jaillet (ITSC, 2013)

Regret based Robust Solutions for Uncertain Markov Decision Processes. - Asrar Ahmed; Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (NIPS, 2013)

Kidney exchange in dynamic sparse heterogenous pools. - Itai Ashlagi; Patrick Jaillet; Vahideh H. Manshadi (EC, 2013)

Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations. - Jie Chen 027; Nannan Cao; Kian Hsiang Low; Ruofei Ouyang; Colin Keng-Yan Tan; Patrick Jaillet (UAI, 2013)

A precise proximity-weight formulation for map matching algorithms. - Ali Oran; Patrick Jaillet (WPNC, 2013)

Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks. - Thomas Holleczek; Liang Yu; Joseph K. Lee; Oliver Senn; Kristian Kloeckl; Carlo Ratti; Patrick Jaillet (CoRR, 2013)

Greedy Online Bipartite Matching on Random Graphs. - Andrew Mastin; Patrick Jaillet (CoRR, 2013)

Decentralized Stochastic Planning with Anonymity in Interactions. - Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (AAAI, 2014)

Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena. - Ruofei Ouyang; Kian Hsiang Low; Jie Chen 027; Patrick Jaillet (AAMAS, 2014)

Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data. - Kian Hsiang Low; Jie Chen 027; Trong Nghia Hoang; Nuo Xu; Patrick Jaillet (DyDESS, 2014)

Predicting traffic speed in urban transportation subnetworks for multiple horizons. - Justin Dauwels; Aamer Aslam; Muhammad Tayyab Asif; Xinyue Zhao; Nikola Mitrovic; Andrzej Cichocki; Patrick Jaillet (ICARCV, 2014)

Extracting commuting patterns in railway networks through matrix decompositions. - Shashank Jere; Justin Dauwels; Muhammad Tayyab Asif; Nikola Mitrovic; Andrzej Cichocki; Patrick Jaillet (ICARCV, 2014)

Compressed prediction of large-scale urban traffic. - Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ICASSP, 2014)

Nonmyopic ( epsilon )-Bayes-Optimal Active Learning of Gaussian Processes. - Trong Nghia Hoang; Bryan Kian Hsiang Low; Patrick Jaillet; Mohan S. Kankanhalli (ICML, 2014)

Evaluation of smart-phone performance for real-time traffic prediction. - Rauf Ansar; Paron Sarampakhul; Soham Ghosh; Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ITSC, 2014)

Wavelets on graphs with application to transportation networks. - Menoth Mohan Dhanya; Muhammad Tayyab Asif; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (ITSC, 2014)

Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. - Trong Nghia Hoang; Kian Hsiang Low; Patrick Jaillet; Mohan S. Kankanhalli (ECML/PKDD (3), 2014)

No-Regret Learnability for Piecewise Linear Losses. - Arthur Flajolet; Patrick Jaillet (CoRR, 2014)

Distributed Multi-Depot Routing without Communications. - Dawsen Hwang; Patrick Jaillet; Zhengyuan Zhou (CoRR, 2014)

Online Stochastic Matching: New Algorithms with Better Bounds. - Patrick Jaillet; Xin Lu (Math. Oper. Res., 2014)

Online traveling salesman problems with rejection options. - Patrick Jaillet; Xin Lu (Networks, 2014)

Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction. - Muhammad Tayyab Asif; Justin Dauwels; Chong Yang Goh; Ali Oran; Esmail Fathi; Muye Xu; Menoth Mohan Dhanya; Nikola Mitrovic; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2014)

Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty. - Yossiri Adulyasak; Pradeep Varakantham; Asrar Ahmed; Patrick Jaillet (AAAI, 2015)

Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. - Supriyo Ghosh; Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (AAAI Workshop: AI for Cities, 2015)

Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation. - Kian Hsiang Low; Jiangbo Yu; Jie Chen 027; Patrick Jaillet (AAAI, 2015)

Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. - Andrew Mastin; Patrick Jaillet; Sang Chin 001 (ISAAC, 2015)

Travel Time Estimation Using Speed Predictions. - Aditya Narayanan; Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (ITSC, 2015)

Inverse Reinforcement Learning with Locally Consistent Reward Functions. - Quoc Phong Nguyen; Kian Hsiang Low; Patrick Jaillet (NIPS, 2015)

On the Quickest Flow Problem in Dynamic Networks - A Parametric Min-Cost Flow Approach. - Maokai Lin; Patrick Jaillet (SODA, 2015)

Container Relocation Problem: Approximation, Asymptotic, and Incomplete Information. - Setareh Borjian; Virgile Galle; Vahideh H. Manshadi; Cynthia Barnhart; Patrick Jaillet (CoRR, 2015)

Managing Relocation and Delay in Container Terminals with Flexible Service Policies. - Setareh Borjian; Vahideh H. Manshadi; Cynthia Barnhart; Patrick Jaillet (CoRR, 2015)

Low regret bounds for Bandits with Knapsacks. - Arthur Flajolet; Patrick Jaillet (CoRR, 2015)

Average-Case Performance of Rollout Algorithms for Knapsack Problems. - Andrew Mastin; Patrick Jaillet (J. Optim. Theory Appl., 2015)

Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems. - Jie Chen 027; Kian Hsiang Low; Yujian Yao; Patrick Jaillet (IEEE Trans Autom. Sci. Eng., 2015)

Near-Lossless Compression for Large Traffic Networks. - Muhammad Tayyab Asif; Kannan Srinivasan; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2015)

Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data. - Nikola Mitrovic; Muhammad Tayyab Asif; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2015)

Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. - Chun Kai Ling; Kian Hsiang Low; Patrick Jaillet (AAAI, 2016)

A stochastic algorithm for online bipartite resource allocation problems. - Antoine Legrain; Patrick Jaillet (Comput. Oper. Res., 2016)

Structured Prediction by Least Squares Estimated Conditional Risk Minimization. - Chong Yang Goh; Patrick Jaillet (CoRR, 2016)

Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases. - Swati Gupta 001; Michel X. Goemans; Patrick Jaillet (CoRR, 2016)

Routing Optimization Under Uncertainty. - Patrick Jaillet; Jin Qi; Melvyn Sim (Oper. Res., 2016)

An average-case asymptotic analysis of the Container Relocation Problem. - Virgile Galle; S. Borjian Boroujeni; Vahideh H. Manshadi; Cynthia Barnhart; Patrick Jaillet (Oper. Res. Lett., 2016)

A Decomposition Algorithm for Nested Resource Allocation Problems. - Thibaut Vidal; Patrick Jaillet; Nelson Maculan (SIAM J. Optim., 2016)

Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks. - Muhammad Tayyab Asif; Nikola Mitrovic; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2016)

On Centralized and Decentralized Architectures for Traffic Applications. - Nikola Mitrovic; Aditya Narayanan; Muhammad Tayyab Asif; Ansar Rauf; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2016)

Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines. - Yossiri Adulyasak; Patrick Jaillet (Transp. Sci., 2016)

Online Repositioning in Bike Sharing Systems. - Meghna Lowalekar; Pradeep Varakantham; Supriyo Ghosh; Sanjay Dominik Jena; Patrick Jaillet (ICAPS, 2017)

Discrete Newton's Algorithm for Parametric Submodular Function Minimization. - Michel X. Goemans; Swati Gupta 001; Patrick Jaillet (IPCO, 2017)

Estimating travel time distributions using copula graphical lasso. - Anatolii Prokhorchuk; Vishnu Prasad Payyada; Justin Dauwels; Patrick Jaillet (ITSC, 2017)

Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. - Jian Wen; Jinhua Zhao; Patrick Jaillet (ITSC, 2017)

Online Learning with a Hint. - Ofer Dekel; Arthur Flajolet; Nika Haghtalab; Patrick Jaillet (NIPS, 2017)

Real-Time Bidding with Side Information. - Arthur Flajolet; Patrick Jaillet (NIPS, 2017)

Estimation of travel time from taxi GPS data. - Kelvin Lee; Anatolii Prokhorchuk; Justin Dauwels; Patrick Jaillet (SSCI, 2017)

Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models. - Haibin Yu; Trong Nghia Hoang; Kian Hsiang Low; Patrick Jaillet (CoRR, 2017)

An algorithm with performance guarantee for the Online Container Relocation Problem. - Elisabeth Zehendner; Dominique Feillet; Patrick Jaillet (Eur. J. Oper. Res., 2017)

Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). - Asrar Ahmed; Pradeep Varakantham; Meghna Lowalekar; Yossiri Adulyasak; Patrick Jaillet (J. Artif. Intell. Res., 2017)

Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. - Supriyo Ghosh; Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (J. Artif. Intell. Res., 2017)

Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. - Manxi Wu; Li Jin 004; Saurabh Amin; Patrick Jaillet (CDC, 2018)

Online spatio-temporal matching in stochastic and dynamic domains. - Meghna Lowalekar; Pradeep Varakantham; Patrick Jaillet (Artif. Intell., 2018)

Maximizing Efficiency in Dynamic Matching Markets. - Itai Ashlagi; Maximilien Burq; Patrick Jaillet; Amin Saberi (CoRR, 2018)

Maximum Weight Online Matching with Deadlines. - Itai Ashlagi; Maximilien Burq; Chinmoy Dutta; Patrick Jaillet; Amin Saberi; Chris Sholley (CoRR, 2018)

Probability Distributions on Partially Ordered Sets and Network Security Games. - Mathieu Dahan; Saurabh Amin; Patrick Jaillet (CoRR, 2018)

A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations. - Virgile Galle; Cynthia Barnhart; Patrick Jaillet (Eur. J. Oper. Res., 2018)

Yard Crane Scheduling for container storage, retrieval, and relocation. - Virgile Galle; Cynthia Barnhart; Patrick Jaillet (Eur. J. Oper. Res., 2018)

Robust Adaptive Routing Under Uncertainty. - Arthur Flajolet; Sebastien Blandin; Patrick Jaillet (Oper. Res., 2018)

Online scheduling with multi-state machines. - Dawsen Hwang; Patrick Jaillet (Networks, 2018)

An Integrated Likelihood Formulation for Characterizing the Proximity of Position Measurements to Road Segments. - Ali Oran; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2018)

The Stochastic Container Relocation Problem. - Virgile Galle; Vahideh H. Manshadi; S. Borjian Boroujeni; Cynthia Barnhart; Patrick Jaillet (Transp. Sci., 2018)

ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. - Meghna Lowalekar; Pradeep Varakantham; Patrick Jaillet (ICAPS, 2019)

The Price of Anarchy: Centralized versus Distributed Resource Allocation Trade-offs. - Jinhong K. Guo; Alexander Karlovitz; Patrick Jaillet; Martin O. Hofmann (ICAART (1), 2019)

Bayesian Optimization Meets Bayesian Optimal Stopping. - Zhongxiang Dai; Haibin Yu; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2019)

Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. - Supriyo Ghosh; Jing Yu Koh; Patrick Jaillet (IJCAI, 2019)

Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression. - Haibin Yu; Trong Nghia Hoang; Bryan Kian Hsiang Low; Patrick Jaillet (IJCNN, 2019)

Implicit Posterior Variational Inference for Deep Gaussian Processes. - Haibin Yu; Yizhou Chen; Bryan Kian Hsiang Low; Patrick Jaillet; Zhongxiang Dai (NeurIPS, 2019)

The Price of Interpretability. - Dimitris Bertsimas; Arthur Delarue; Patrick Jaillet; Sébastien Martin (CoRR, 2019)

Optimal Explanations of Linear Models. - Dimitris Bertsimas; Arthur Delarue; Patrick Jaillet; Sébastien Martin (CoRR, 2019)

Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. - Tien Mai; Kennard Chan; Patrick Jaillet (CoRR, 2019)

Inverse Reinforcement Learning with Missing Data. - Tien Mai; Quoc Phong Nguyen; Kian Hsiang Low; Patrick Jaillet (CoRR, 2019)

Robust Multi-product Pricing under General Extreme Value Models. - Tien Mai; Patrick Jaillet (CoRR, 2019)

The K-server problem via a modern optimization lens. - Dimitris Bertsimas; Patrick Jaillet; Nikita Korolko (Eur. J. Oper. Res., 2019)

On Matching and Thickness in Heterogeneous Dynamic Markets. - Itai Ashlagi; Maximilien Burq; Patrick Jaillet; Vahideh H. Manshadi (Oper. Res., 2019)

Travel Time Estimation in the Age of Big Data. - Dimitris Bertsimas; Arthur Delarue; Patrick Jaillet; Sébastien Martin (Oper. Res., 2019)

Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications. - Dimitris Bertsimas; Patrick Jaillet; Sébastien Martin (Oper. Res., 2019)

Exponential convergence rates for stochastically ordered Markov processes under perturbation. - Julia Gaudio; Saurabh Amin; Patrick Jaillet (Syst. Control. Lett., 2019)

Separable Convex Optimization with Nested Lower and Upper Constraints. - Thibaut Vidal; Daniel Gribel; Patrick Jaillet (INFORMS J. Optim., 2019)

Competitive Ratios for Online Multi-capacity Ridesharing. - Meghna Lowalekar; Pradeep Varakantham; Patrick Jaillet (AAMAS, 2020)

Optimizing Onsite Food Services at Scale. - Konstantina Mellou; Luke Marshall; Krishna Chintalapudi; Patrick Jaillet; Ishai Menache (SIGSPATIAL/GIS, 2020)

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. - Zhongxiang Dai; Yizhou Chen; Bryan Kian Hsiang Low; Patrick Jaillet; Teck-Hua Ho (ICML, 2020)

Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion. - Trong Nghia Hoang; Thanh Lam; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2020)

Federated Bayesian Optimization via Thompson Sampling. - Zhongxiang Dai; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2020)

No-regret Learning in Price Competitions under Consumer Reference Effects. - Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang (NeurIPS, 2020)

Variational Bayesian Unlearning. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2020)

A Relation Analysis of Markov Decision Process Frameworks. - Tien Mai; Patrick Jaillet (CoRR, 2020)

Learning Structure in Nested Logit Models. - Youssef M. Aboutaleb; Moshe E. Ben-Akiva; Patrick Jaillet (CoRR, 2020)

An improved lower bound for the Traveling Salesman constant. - Julia Gaudio; Patrick Jaillet (Oper. Res. Lett., 2020)

Estimating Travel Time Distributions by Bayesian Network Inference. - Anatolii Prokhorchuk; Justin Dauwels; Patrick Jaillet (IEEE Trans. Intell. Transp. Syst., 2020)

An Information-Theoretic Framework for Unifying Active Learning Problems. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (AAAI, 2021)

Top-k Ranking Bayesian Optimization. - Quoc Phong Nguyen; Sebastian Tay; Bryan Kian Hsiang Low; Patrick Jaillet (AAAI, 2021)

Model Fusion for Personalized Learning. - Thanh Chi Lam; Trong Nghia Hoang; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2021)

Value-at-Risk Optimization with Gaussian Processes. - Quoc Phong Nguyen; Zhongxiang Dai; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2021)

Collaborative Bayesian Optimization with Fair Regret. - Rachael Hwee Ling Sim; Yehong Zhang; Bryan Kian Hsiang Low; Patrick Jaillet (ICML, 2021)

Convolutional Normalizing Flows for Deep Gaussian Processes. - Haibin Yu; Dapeng Liu; Bryan Kian Hsiang Low; Patrick Jaillet (IJCNN, 2021)

Differentially Private Federated Bayesian Optimization with Distributed Exploration. - Zhongxiang Dai; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2021)

Optimizing Conditional Value-At-Risk of Black-Box Functions. - Quoc Phong Nguyen; Zhongxiang Dai; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2021)

Learning to learn with Gaussian processes. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (UAI, 2021)

Trusted-maximizers entropy search for efficient Bayesian optimization. - Quoc Phong Nguyen; Zhaoxuan Wu; Bryan Kian Hsiang Low; Patrick Jaillet (UAI, 2021)

Efficient Carpooling and Toll Pricing for Autonomous Transportation. - Saurabh Amin; Patrick Jaillet; Manxi Wu (CoRR, 2021)

Bidding and Pricing in Budget and ROI Constrained Markets. - Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang; Vahab S. Mirrokni (CoRR, 2021)

Robust Entropy-regularized Markov Decision Processes. - Tien Mai; Patrick Jaillet (CoRR, 2021)

Planning a multi-sensors search for a moving target considering traveling costs. - Florian Delavernhe; Patrick Jaillet; André Rossi; Marc Sevaux (Eur. J. Oper. Res., 2021)

Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios. - Hossein Hashemi Doulabi; Patrick Jaillet; Gilles Pesant; Louis-Martin Rousseau (INFORMS J. Comput., 2021)

Online Resource Allocation Under Partially Predictable Demand. - Dawsen Hwang; Patrick Jaillet; Vahideh H. Manshadi (Oper. Res., 2021)

Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. - Meghna Lowalekar; Pradeep Varakantham; Patrick Jaillet (J. Artif. Intell. Res., 2021)

The Robust Vehicle Routing Problem with Time Window Assignments. - Maaike Hoogeboom; Yossiri Adulyasak; Wout Dullaert; Patrick Jaillet (Transp. Sci., 2021)

Optimal Information Provision for Strategic Hybrid Workers. - Sohil Shah; Saurabh Amin; Patrick Jaillet (CDC, 2022)

Sample-Then-Optimize Batch Neural Thompson Sampling. - Zhongxiang Dai; Yao Shu; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2022)

Effective Dimension in Bandit Problems under Censorship. - Gauthier Guinet; Saurabh Amin; Patrick Jaillet (NeurIPS, 2022)

Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2022)

On provably robust meta-Bayesian optimization. - Zhongxiang Dai; Yizhou Chen; Haibin Yu; Bryan Kian Hsiang Low; Patrick Jaillet (UAI, 2022)

An iterative security game for computing robust and adaptive network flows. - Supriyo Ghosh; Patrick Jaillet (Comput. Oper. Res., 2022)

Rectified Max-Value Entropy Search for Bayesian Optimization. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (CoRR, 2022)

Universal Regression with Adversarial Responses. - Moïse Blanchard; Patrick Jaillet (CoRR, 2022)

Federated Neural Bandit. - Zhongxiang Dai; Yao Shu; Arun Verma; Flint Xiaofeng Fan; Bryan Kian Hsiang Low; Patrick Jaillet (CoRR, 2022)

Weighted Maximum Entropy Inverse Reinforcement Learning. - The Viet Bui; Tien Mai; Patrick Jaillet (CoRR, 2022)

Fairness in the Autobidding World with Machine-learned Advice. - Yuan Deng; Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang; Vahab Mirrokni (CoRR, 2022)

Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem. - Moïse Blanchard; Alexandre Jacquillat; Patrick Jaillet (CoRR, 2022)

Additional Results and Extensions for the paper "Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem". - Moïse Blanchard; Alexandre Jacquillat; Patrick Jaillet (CoRR, 2022)

Strategic Workforce Planning Under Uncertainty. - Patrick Jaillet; Gar Goei Loke; Melvyn Sim (Oper. Res., 2022)

Probability Distributions on Partially Ordered Sets and Network Interdiction Games. - Mathieu Dahan; Saurabh Amin; Patrick Jaillet (Math. Oper. Res., 2022)

Satisficing Models Under Uncertainty. - Patrick Jaillet; Sanjay Dominik Jena; Tsan Sheng Adam Ng; Melvyn Sim (INFORMS J. Optim., 2022)

Incentive-aware Contextual Pricing with Non-parametric Market Noise. - Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang (AISTATS, 2023)

Pricing against a Budget and ROI Constrained Buyer. - Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang; Vahab Mirrokni (AISTATS, 2023)

Information Disclosure About Booster Efficacy in a Non-Stationary Environment. - Sohil Shah; Saurabh Amin; Patrick Jaillet (CDC, 2023)

Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal. - Moïse Blanchard; Junhui Zhang; Patrick Jaillet (COLT, 2023)

Federated Neural Bandits. - Zhongxiang Dai; Yao Shu; Arun Verma; Flint Xiaofeng Fan; Bryan Kian Hsiang Low; Patrick Jaillet (ICLR, 2023)

Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation. - Thanh Lam; Arun Verma; Bryan Kian Hsiang Low; Patrick Jaillet (ICLR, 2023)

Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. - Yao Shu; Zhongxiang Dai; Weicong Sng; Arun Verma; Patrick Jaillet; Bryan Kian Hsiang Low (ICLR, 2023)

Multi-channel Autobidding with Budget and ROI Constraints. - Yuan Deng; Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang; Vahab Mirrokni (ICML, 2023)

DRCFS: Doubly Robust Causal Feature Selection. - Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Cristian R. Rojas; Stefan Bauer (ICML, 2023)

Memory-Constrained Algorithms for Convex Optimization. - Moïse Blanchard; Junhui Zhang; Patrick Jaillet (NeurIPS, 2023)

Quantum Bayesian Optimization. - Zhongxiang Dai; Gregory Kang Ruey Lau; Arun Verma; Yao Shu; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2023)

Batch Bayesian Optimization For Replicable Experimental Design. - Zhongxiang Dai; Quoc Phong Nguyen; Sebastian Tay; Daisuke Urano; Richalynn Leong; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2023)

Incentives in Private Collaborative Machine Learning. - Rachael Hwee Ling Sim; Yehong Zhang; Nghia Hoang; Xinyi Xu; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2023)

Contextual Bandits and Optimistically Universal Learning. - Moïse Blanchard; Steve Hanneke; Patrick Jaillet (CoRR, 2023)

Non-stationary Contextual Bandits and Universal Learning. - Moïse Blanchard; Steve Hanneke; Patrick Jaillet (CoRR, 2023)

Memory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes. - Moïse Blanchard; Junhui Zhang; Patrick Jaillet (CoRR, 2023)

Online Resource Allocation with Convex-set Machine-Learned Advice. - Negin Golrezaei; Patrick Jaillet; Zijie Zhou (CoRR, 2023)

Market Design for Dynamic Pricing and Pooling in Capacitated Networks. - Saurabh Amin; Patrick Jaillet; Haripriya Pulyassary; Manxi Wu (CoRR, 2023)

Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. - Xiaoqiang Lin; Zhaoxuan Wu; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (CoRR, 2023)

Secretary Problems with Random Number of Candidates: How Prior Distributional Information Helps. - Junhui Zhang; Patrick Jaillet (CoRR, 2023)

Doubly Robust Structure Identification from Temporal Data. - Emmanouil Angelis; Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Stefan Bauer (CoRR, 2023)

Information Design for Hybrid Work under Infectious Disease Transmission Risk. - Sohil Shah; Saurabh Amin; Patrick Jaillet (CoRR, 2023)

Distribution-Dependent Rates for Multi-Distribution Learning. - Rafael Hanashiro; Patrick Jaillet (CoRR, 2023)

Edge-Weighted Online Windowed Matching. - Itai Ashlagi; Maximilien Burq; Chinmoy Dutta; Patrick Jaillet; Amin Saberi; Chris Sholley (Math. Oper. Res., 2023)

Optimistic Bayesian Optimization with Unknown Constraints. - Quoc Phong Nguyen; Wan Theng Ruth Chew; Le Song; Bryan Kian Hsiang Low; Patrick Jaillet (ICLR, 2024)

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes. - Quoc Phong Nguyen; Bryan Kian Hsiang Low; Patrick Jaillet (ICLR, 2024)

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. - Xiaoqiang Lin; Zhaoxuan Wu; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (ICML, 2024)

Deletion-Anticipative Data Selection with a Limited Budget. - Rachael Hwee Ling Sim; Jue Fan; Xiao Tian; Patrick Jaillet; Bryan Kian Hsiang Low (ICML, 2024)

A Universal Class of Sharpness-Aware Minimization Algorithms. - Behrooz Tahmasebi; Ashkan Soleymani; Dara Bahri; Stefanie Jegelka; Patrick Jaillet (ICML, 2024)

Active Set Ordering. - Quoc Phong Nguyen; Sunil Gupta 001; Svetha Venkatesh; Bryan Kian Hsiang Low; Patrick Jaillet (NeurIPS, 2024)

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. - Zhaoxuan Wu; Xiaoqiang Lin; Zhongxiang Dai; Wenyang Hu; Yao Shu; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (NeurIPS, 2024)

Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. - Yuan Deng; Negin Golrezaei; Patrick Jaillet; Jason Cheuk Nam Liang; Vahab Mirrokni (WWW, 2024)

Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management. - Patrick Jaillet; Chara Podimata; Zijie Zhou (CoRR, 2024)

Incentives in Private Collaborative Machine Learning. - Rachael Hwee Ling Sim; Yehong Zhang; Trong Nghia Hoang; Xinyi Xu; Bryan Kian Hsiang Low; Patrick Jaillet (CoRR, 2024)

Prompt Optimization with Human Feedback. - Xiaoqiang Lin; Zhongxiang Dai; Arun Verma; See-Kiong Ng; Patrick Jaillet; Bryan Kian Hsiang Low (CoRR, 2024)

Neural Dueling Bandits. - Arun Verma; Zhongxiang Dai; Xiaoqiang Lin; Patrick Jaillet; Bryan Kian Hsiang Low (CoRR, 2024)

Near-Optimal Mechanisms for Resource Allocation Without Monetary Transfers. - Moïse Blanchard; Patrick Jaillet (CoRR, 2024)

Probabilistic Bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem. - Moïse Blanchard; Alexandre Jacquillat; Patrick Jaillet (Math. Oper. Res., 2024)

A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries. - Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet (AISTATS, 2025)

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract). - Yan Dai 002; Moïse Blanchard; Patrick Jaillet (COLT, 2025)

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback. - Arun Verma; Zhongxiang Dai; Xiaoqiang Lin; Patrick Jaillet; Bryan Kian Hsiang Low (ICLR, 2025)

Multi-drone rescue search in a large network. - Victor Gonzalez; Patrick Jaillet (Eur. J. Oper. Res., 2025)

Portfolio Optimization Based on Almost Second-Degree Stochastic Dominance. - Chunling Luo; Piao Chen; Patrick Jaillet (Manag. Sci., 2025)

A Locational Demand Model for Bike-Sharing. - Ang Xu; Chiwei Yan; Chong Yang Goh; Patrick Jaillet (Manuf. Serv. Oper. Manag., 2025)

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely. - Yan Dai 002; Moïse Blanchard; Patrick Jaillet (CoRR, 2025)

Learning with Exact Invariances in Polynomial Time. - Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet (CoRR, 2025)

Multi-Timescale Gradient Sliding for Distributed Optimization. - Junhui Zhang; Patrick Jaillet (CoRR, 2025)

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints. - Yan Dai 002; Negin Golrezaei; Patrick Jaillet (CoRR, 2025)