Kai Wang

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