Carson Eisenach

According to our database, Carson Eisenach authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Structure-Informed Deep Reinforcement Learning for Inventory Management.

Alvaro Maggiar, Sohrab Andaz, Akhil Bagaria, Carson Eisenach, Dean P. Foster, Omer Gottesman, Dominique Perrault-Joncas

CoRR, July, 2025

Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness.

Defeng Liu, Ying Liu, Carson Eisenach

CoRR, July, 2025

Outbound Modeling for Inventory Management.

Riccardo Savorgnan, Udaya Ghai, Carson Eisenach, Dean P. Foster

CoRR, July, 2025

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.

Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Neural Coordination and Capacity Control for Inventory Management.

Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade

CoRR, 2024

2023

Learning an Inventory Control Policy with General Inventory Arrival Dynamics.

Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade

CoRR, 2023

2022

Deep Inventory Management.

Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo

CoRR, 2022

MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation.

Sitan Yang, Carson Eisenach, Dhruv Madeka

CoRR, 2022

2020

High-Dimensional Inference for Cluster-Based Graphical Models.

Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu

J. Mach. Learn. Res., 2020

MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention.

Carson Eisenach, Yagna Patel, Dhruv Madeka

CoRR, 2020

2019

Efficient, certifiably optimal clustering with applications to latent variable graphical models.

Carson Eisenach, Han Liu

Math. Program., 2019

Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications.

Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Marginal Policy Gradients for Complex Control.

Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu

CoRR, 2018

Efficient, Certifiably Optimal High-Dimensional Clustering.

Carson Eisenach, Han Liu

CoRR, 2018