Tien Mai - RankMe

37 papers A* 8Misc 1Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Constrained Pricing under Finite Mixtures of Logit. CoRR Hoang Giang Pham, Tien Mai
2026	J	`jnl`	Constrained assortment optimization under the mixed-Logit model: Approximation schemes and outer approximation approaches. Eur. J. Oper. Res. Hoang Giang Pham, Tien Mai
2026	J	`jnl`	The rescheduling school bus routing problem under a constraint on the number of students with negative impact. J. Oper. Res. Soc. Dinh Quy Ta, Thu Huong Dang, Minh Hoàng Hà, Duc Minh Vu, Tien Mai
2025	J	`jnl`	An exponential cone integer programming and piece-wise linear approximation approach for 0-1 fractional programming. J. Comb. Optim. Hoang Giang Pham, Thuy Anh Ta, Tien Mai
2025	J	`jnl`	Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham, Tanvi Verma
2024	J	`jnl`	Competitive Facility Location under Random Utilities and Routing Constraints. CoRR Hoang Giang Pham, Tien Thanh Dam, Ngan Ha Duong, Tien Mai, Minh Hoàng Hà
2024	A*	`conf`	Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. AAAI Huy Hoang, Tien Mai, Pradeep Varakantham
2024	J	`jnl`	Outer Approximation and Super-modular Cuts for Constrained Assortment Optimization under Mixed-Logit Model. CoRR Hoang Giang Pham, Tien Mai
2024	A*	`conf`	Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively. AAAI Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang
2024	A*	`conf`	SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning. NeurIPS Huy Hoang, Tien Mai, Pradeep Varakantham
2024	J	`jnl`	SubIQ: Inverse Soft-Q Learning for Offline Imitation with Suboptimal Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2024	A*	`conf`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. IJCAI Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh
2024	J	`jnl`	UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2023	A*	`conf`	A Fair Incentive Scheme for Community Health Workers. AAAI Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
2023	J	`jnl`	Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2023	J	`jnl`	Joint location and cost planning in maximum capture facility location under random utilities. Comput. Oper. Res. Ngan Ha Duong, Tien Thanh Dam, Thuy Anh Ta, Tien Mai
2023	J	`jnl`	Robust maximum capture facility location under random utility maximization models. Eur. J. Oper. Res. Tien Thanh Dam, Thuy Anh Ta, Tien Mai
2023	A*	`conf`	Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. AAAI Tien Mai, Arunesh Sinha
2023	J	`jnl`	Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties. CoRR Hao Jiang, Tien Mai, Pradeep Varakantham
2023	J	`jnl`	Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. CoRR Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen
2022	Misc	`conf`	A Logistic Regression and Linear Programming Approach for Multi-Skill Staffing Optimization in Call Centers. WSC Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer
2022	A*	`conf`	Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. AAAI Tien Mai, Arunesh Sinha
2022	J	`jnl`	Joint chance-constrained staffing optimization in multi-skill call centers. J. Comb. Optim. Tien Thanh Dam, Thuy Anh Ta, Tien Mai
2022	J	`jnl`	Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach. CoRR Tien Mai, Arunesh Sinha
2022	J	`jnl`	Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees. CoRR Avinandan Bose, Arunesh Sinha, Tien Mai
2022	A*	`conf`	Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees. NeurIPS Avinandan Bose, Arunesh Sinha, Tien Mai
2022	J	`jnl`	Submodularity and local search approaches for maximum capture problems under generalized extreme value models. Eur. J. Oper. Res. Tien Thanh Dam, Thuy Anh Ta, Tien Mai
2022	J	`jnl`	Undiscounted Recursive Path Choice Models: Convergence Properties and Algorithms. Transp. Sci. Tien Mai, Emma Frejinger
2021	J	`jnl`	On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling. Math. Program. Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer
2021	J	`jnl`	Robust Entropy-regularized Markov Decision Processes. CoRR Tien Mai, Patrick Jaillet
2020	J	`jnl`	A Relation Analysis of Markov Decision Process Frameworks. CoRR Tien Mai, Patrick Jaillet
2020	J	`jnl`	A multicut outer-approximation approach for competitive facility location under random utilities. Eur. J. Oper. Res. Tien Mai, Andrea Lodi
2020	J	`jnl`	Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models. CoRR Xinlian Yu, Tien Mai, Jing Ding-Mastera, Song Gao, Emma Frejinger
2019	J	`jnl`	Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. CoRR Tien Mai, Kennard Chan, Patrick Jaillet
2019	J	`jnl`	Inverse Reinforcement Learning with Missing Data. CoRR Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
2019	J	`jnl`	Robust Multi-product Pricing under General Extreme Value Models. CoRR Tien Mai, Patrick Jaillet
2018	J	`jnl`	A decomposition method for estimating recursive logit based route choice models. EURO J. Transp. Logist. Tien Mai, Fabian Bastin, Emma Frejinger