Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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49 results at INFORMS 2020

MDP Graph-based Intermediate Model for DRL Training
- - Alexander Zadorojniy
  - Segev Wasserkrug
- 2020
- INFORMS 2020
Interpretable Data-driven Personalized Pricing
- - Max R. Biggs
  - Wei Sun
- 2020
- INFORMS 2020
A method for high-dimensional probabilistic multivariate time series forecasting
- - Brian Quanz
  - Nam Nguyen
- 2020
- INFORMS 2020
Automated Derivation Of MDP And Reinforcement Learning Models From Historical Data
- - Segev Wasserkrug
  - Alexander Zadorojniy
  - et al.
- 2020
- INFORMS 2020
Demand Forecasting for Omnichannel Inventory Management
- - Brian Quanz
  - Pavithra Harsha
  - et al.
- 2020
- INFORMS 2020
Empirical and Theoretical Relationships Among Pillars of Trustworthy Machine Learning
- - Kush R. Varshney
  - Moninder Singh
- 2020
- INFORMS 2020
System and Method for Demand Forecasting of the Service Request Volume
- - Bing Zhang
  - Shubhi Asthana
  - et al.
- 2020
- INFORMS 2020
A Heuristic Approach To Compute Service Request Resolution Time
- - Rohit Mujumdar
  - Pawan Chowdhary
  - et al.
- 2020
- INFORMS 2020
Modelling Economical Attacks In Distributed P2P Segregated Markets, A Stability And Reliability Approach
- - Emanuele Ragnoli
- 2020
- INFORMS 2020