Randy Jia

12 papers A* 1B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Contextual Bandits for Evaluating and Improving Inventory Control Policies. CoRR Dean P. Foster, Randy Jia, Dhruv Madeka
2023	J	`jnl`	Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
2023	B	`conf`	Linear Reinforcement Learning with Ball Structure Action Space. ALT Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2023	J	`jnl`	Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. Shipra Agrawal, Randy Jia
2022	J	`jnl`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. Shipra Agrawal, Randy Jia
2022	J	`jnl`	Linear Reinforcement Learning with Ball Structure Action Space. CoRR Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2019	A*	`conf`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC Shipra Agrawal, Randy Jia
2019	J	`jnl`	Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR Shipra Agrawal, Randy Jia
2017	—	`conf`	Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS Shipra Agrawal, Randy Jia
2017	J	`jnl`	Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR Shipra Agrawal, Randy Jia
2013	J	`jnl`	4-ordered-Hamiltonian problems of the generalized Petersen graph Math. Comput. Model. Chun-Nan Hung, David Lu, Randy Jia, Cheng-Kuan Lin, László Lipták, Eddie Cheng, Jimmy J. M. Tan, Lih-Hsing Hsu
2010	J	`jnl`	Matching preclusion and Conditional Matching preclusion for Augmented Cubes. J. Interconnect. Networks Eddie Cheng, Randy Jia, David Lu

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski