Carson Eisenach

18 papers A* 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BRIDGE: Building Representations In Domain Guided Program Verification. CoRR Robert Joseph George, Carson Eisenach, Udaya Ghai, Dominique Perrault-Joncas, Anima Anandkumar, Dean P. Foster
2025	J	`jnl`	Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness. CoRR Defeng Liu, Ying Liu, Carson Eisenach
2025	A*	`conf`	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. ICLR Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2025	J	`jnl`	Outbound Modeling for Inventory Management. CoRR Riccardo Savorgnan, Udaya Ghai, Carson Eisenach, Dean P. Foster
2025	J	`jnl`	Structure-Informed Deep Reinforcement Learning for Inventory Management. CoRR Alvaro Maggiar, Sohrab Andaz, Akhil Bagaria, Carson Eisenach, Dean P. Foster, Omer Gottesman, Dominique Perrault-Joncas
2024	J	`jnl`	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. CoRR Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2024	J	`jnl`	Neural Coordination and Capacity Control for Inventory Management. CoRR Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade
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
2022	J	`jnl`	Deep Inventory Management. CoRR Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo
2022	J	`jnl`	MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation. CoRR Sitan Yang, Carson Eisenach, Dhruv Madeka
2020	J	`jnl`	High-Dimensional Inference for Cluster-Based Graphical Models. J. Mach. Learn. Res. Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu
2020	J	`jnl`	MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention. CoRR Carson Eisenach, Yagna Patel, Dhruv Madeka
2019	J	`jnl`	Efficient, certifiably optimal clustering with applications to latent variable graphical models. Math. Program. Carson Eisenach, Han Liu
2019	—	`conf`	Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. ICLR (Poster) Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
2019	—	`—`	Modern Optimization for Statistics and Learning. Carson Eisenach
2018	J	`jnl`	Efficient, Certifiably Optimal High-Dimensional Clustering. CoRR Carson Eisenach, Han Liu
2018	J	`jnl`	High-Dimensional Inference for Cluster-Based Graphical Models. CoRR Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu
2018	J	`jnl`	Marginal Policy Gradients for Complex Control. CoRR Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu