| A multi-horizon quantile recurrent forecaster R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 2017 | 553 | 2017 |
| Scatteract: Automated extraction of data from scatter plots M Cliche, D Rosenberg, D Madeka, C Yee Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 84 | 2017 |
| Mqtransformer: Multi-horizon forecasts with context dependent and feedback-aware attention C Eisenach, Y Patel, D Madeka arXiv preprint arXiv:2009.14799, 2020 | 43 | 2020 |
| Deep Inventory Management D Madeka, K Torkkola, C Eisenach, D Foster, A Luo, SM Kakade arXiv preprint arXiv:2210.03137, 2022 | 40 | 2022 |
| A study on the calibration of in-context learning H Zhang, YF Zhang, Y Yu, D Madeka, D Foster, E Xing, H Lakkaraju, ... arXiv preprint arXiv:2312.04021, 2023 | 12 | 2023 |
| Sample path generation for probabilistic demand forecasting D Madeka, L Swiniarski, D Foster, L Razoumov, K Torkkola, R Wen | 10 | 2018 |
| Scaling laws for imitation learning in nethack J Tuyls, D Madeka, K Torkkola, D Foster, K Narasimhan, S Kakade arXiv preprint arXiv:2307.09423, 2023 | 7 | 2023 |
| A few expert queries suffices for sample-efficient rl with resets and linear value approximation P Amortila, N Jiang, D Madeka, DP Foster Advances in Neural Information Processing Systems 35, 29637-29648, 2022 | 6 | 2022 |
| A Framework for the Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data N Tripuraneni, D Madeka, D Foster, D Perrault-Joncas, MI Jordan arXiv preprint arXiv:2112.07602, 2021 | 6* | 2021 |
| All roads lead to quantitative finance NN Taleb, D Madeka Quantitative Finance 19 (11), 1775-1776, 2019 | 6 | 2019 |
| MQRetNN: Multi-horizon time series forecasting with retrieval augmentation S Yang, C Eisenach, D Madeka arXiv preprint arXiv:2207.10517, 2022 | 5 | 2022 |
| Accurate prediction of electoral outcomes D Madeka arXiv preprint arXiv:1704.02664, 2017 | 5 | 2017 |
| 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 | 3 | 2023 |
| Distribution-free multi-horizon forecasting and vending system V Quenneville-Belair, M Wolff, B Willhelme, D Madeka, D Foster | 3 | 2023 |
| Linear reinforcement learning with ball structure action space Z Jia, R Jia, D Madeka, DP Foster International Conference on Algorithmic Learning Theory, 755-775, 2023 | 1 | 2023 |
| Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling W Xu, R Han, Z Wang, LT Le, D Madeka, L Li, WY Wang, R Agarwal, ... arXiv preprint arXiv:2410.11325, 2024 | | 2024 |
| Neural Coordination and Capacity Control for Inventory Management C Eisenach, U Ghai, D Madeka, K Torkkola, D Foster, S Kakade arXiv preprint arXiv:2410.02817, 2024 | | 2024 |
| Contextual Bandits for Evaluating and Improving Inventory Control Policies D Foster, R Jia, D Madeka arXiv preprint arXiv:2310.16096, 2023 | | 2023 |
| Estimating Covariance Matrices for Investments Whose Histories Differ in Length D Madeka, W Nilsen Available at SSRN 2331085, 2013 | | 2013 |
| Scaling Laws for Imitation Learning in Single-Agent Games J Tuyls, D Madeka, K Torkkola, D Foster, KR Narasimhan, SM Kakade | | |
Kari TorkkolaSenior Principal Research Scientist, Amazon.comVerified email at amazon.com
