| Mqtransformer: Multi-horizon forecasts with context dependent and feedback-aware attention C Eisenach, Y Patel, D Madeka arXiv preprint arXiv:2009.14799, 2020 | 31 | 2020 |
| Deep inventory management D Madeka, K Torkkola, C Eisenach, A Luo, D Foster, S Kakade arXiv preprint arXiv:2210.03137, 2022 | 21 | 2022 |
| Nonparametrically learning activation functions in deep neural nets C Eisenach, Z Wang, H Liu | 13 | 2016 |
| Marginal policy gradients: A unified family of estimators for bounded action spaces with applications C Eisenach, H Yang, J Liu, H Liu arXiv preprint arXiv:1806.05134, 2018 | 12 | 2018 |
| Effect of exercise on heart-rate response to mental stress in teenagers A Costin, N Costin, P Cohen, C Eisenach, F Marchlinski European journal of preventive cardiology 20 (4), 593-596, 2013 | 12 | 2013 |
| High-Dimensional Inference for Cluster-Based Graphical Models C Eisenach, F Bunea, Y Ning, C Dinicu JMLR 21, 2018 | 10 | 2018 |
| Efficient, certifiably optimal clustering with applications to latent variable graphical models C Eisenach, H Liu Mathematical Programming 176, 137-173, 2019 | 4* | 2019 |
| MQRetNN: Multi-horizon time series forecasting with retrieval augmentation S Yang, C Eisenach, D Madeka arXiv preprint arXiv:2207.10517, 2022 | 3 | 2022 |
| Learning an Inventory Control Policy with General Inventory Arrival Dynamics S Andaz, C Eisenach, D Madeka, K Torkkola, R Jia, D Foster, S Kakade arXiv preprint arXiv:2310.17168, 2023 | 1 | 2023 |
| Natural Policy Gradient for Exponential Families C Eisenach, Z Yang | 1 | 2019 |
| PARAMETRIZED DEEP Q-NETWORKS LEARNING: PLAYING ONLINE BATTLE ARENA WITH DISCRETE-CONTINUOUS HYBRID ACTION SPACE J Xiong, Q Wang, Z Yang, P Sun, Y Zheng, L Han, H Fu, X Lian, ... | 1 | 2018 |
| Modern Optimization for Statistics and Learning CM Eisenach Princeton University, 2019 | | 2019 |
| Additional Materials: Efficient, Certifiably Optimal High-Dimensional Clustering C Eisenach, H Liu | | |
