Kai Wang - RankMe

46 papers A* 13A 8C 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare. AAAI Kai Wang
2025	J	`jnl`	A Fully First-Order Layer for Differentiable Optimization. CoRR Zihao Zhao, Kai-Chia Mo, Shing-Hei Ho, Brandon Amos, Kai Wang
2025	J	`jnl`	Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization. CoRR Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang
2025	A*	`conf`	Efficient Online Reinforcement Learning for Diffusion Policy. ICML Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai
2025	J	`jnl`	Finding a Multiple Follower Stackelberg Equilibrium: A Fully First-Order Method. CoRR April Niu, Kai Wang, Juba Ziani
2025	J	`jnl`	Networked Restless Multi-Arm Bandits with Reinforcement Learning. CoRR Hanmo Zhang, Zenghui Sun, Kai Wang
2025	J	`jnl`	Neural Index Policies for Restless Multi-Action Bandits with Heterogeneous Budgets. CoRR Himadri S. Pandey, Kai Wang, Gian-Gabriel P. Garcia
2025	J	`jnl`	Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee. CoRR Yu-Heng Hung, Ping-Chun Hsieh, Kai Wang
2025	J	`jnl`	One-Step Flow Policy Mirror Descent. CoRR Tianyi Chen, Haitong Ma, Na Li, Kai Wang, Bo Dai
2025	A	`conf`	Primal-Dual Spectral Representation for Off-policy Evaluation. AISTATS Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai
2025	J	`jnl`	Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting. CoRR Alexandre Andre, Gauthier Roy, Eva B. Dyer, Kai Wang
2025	J	`jnl`	Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. CoRR Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai
2025	A	`conf`	What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2025	A*	`conf`	What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. WWW Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
2025	J	`jnl`	What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. CoRR Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
2024	J	`jnl`	Primal-Dual Spectral Representation for Off-policy Evaluation. CoRR Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai
2024	J	`jnl`	What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2024	A*	`conf`	epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023	—	`conf`	Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. GameSec Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, Milind Tambe
2023	A	`conf`	Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. AAMAS Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe
2023	A*	`conf`	Optimistic Whittle Index Policy: Online Learning for Restless Bandits. AAAI Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
2023	A	`conf`	Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe
2023	A*	`conf`	Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. AAAI Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2022	A*	`conf`	Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2022	J	`jnl`	Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. CoRR Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2022	A*	`conf`	Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2022	J	`jnl`	Optimistic Whittle Index Policy: Online Learning for Restless Bandits. CoRR Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
2021	J	`jnl`	Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2021	A*	`conf`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2021	J	`jnl`	Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2021	A*	`conf`	Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2021	J	`jnl`	Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2020	C	`conf`	Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. MABS Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe
2020	A*	`conf`	Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. NeurIPS Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2020	A	`conf`	Robust Spatial-Temporal Incident Prediction. UAI Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik
2020	A	`conf`	Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe
2019	A	`conf`	Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	—	`conf`	DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	—	`conf`	Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2019	—	`conf`	Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
2019	—	`conf`	Mobile Game Theory with Street Gangs. PKDD/ECML Workshops (1) Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe
2018	A	`conf`	Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An
2018	A*	`conf`	Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe
2018	A*	`conf`	The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe