Publications

(2024). Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. Proceedings of the 41st International Conference on Machine Learning (ICML 2024).
(2023). Sequential Fair Resource Allocation under a Markov Decision Process Framework. Proceedings of the Fourth ACM International Conference on AI in Finance (ICAIF 2023).
(2023). Certifiably Robust Multi-agent Reinforcement Learning against Adversarial Communication. Proceedings of the International Conference on Learning Representations (ICLR 2023).
(2022). Generative Models with Information-Theoretic Protection Against Membership Inference Attack. ICML 2022 Workshop on New Frontiers in Adversarial Machine Learning.
(2022). Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022).
(2021). Non-parametric Stochastic Sequential Assignment with Random Arrival Times. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2021).
(2020). Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels. IEEE Transactions on Communications.
(2020). Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources. IEEE Transactions on Information Theory.
(2018). On Coding for Cache-Aided Delivery of Dynamic Correlated Content. IEEE Journal on Selected Areas in Communications (JSAC 2018).
(2017). Rate-Memory Trade-off for the Two-User Broadcast Caching Network with Correlated Sources. Proceedings of the International Symposium on Turbo Codes and Iterative Information Processing (ISIT 2017).