| Quantum linear systems algorithms: a primer D Dervovic, M Herbster, P Mountney, S Severini, N Usher, L Wossnig arXiv preprint arXiv:1802.08227, 2018 | 77 | 2018 |
| Generating synthetic data in finance: opportunities, challenges and pitfalls SA Assefa, D Dervovic, M Mahfouz, RE Tillman, P Reddy, M Veloso Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | 58 | 2020 |
| Get real: Realism metrics for robust limit order book market simulations S Vyetrenko, D Byrd, N Petosa, M Mahfouz, D Dervovic, M Veloso, ... Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | 38 | 2020 |
| Counterfactual shapley additive explanations E Albini, J Long, D Dervovic, D Magazzeni 2022 ACM Conference on Fairness, Accountability, and Transparency, 1054-1070, 2022 | 14 | 2022 |
| Counterfactual explanations for arbitrary regression models T Spooner, D Dervovic, J Long, J Shepard, J Chen, D Magazzeni arXiv preprint arXiv:2106.15212, 2021 | 10 | 2021 |
| Quantum linear systems algorithms: a primer (2018) D Dervovic, M Herbster, P Mountney, S Severini, N Usher, L Wossnig arXiv preprint arXiv:1802.08227, 0 | 8 | |
| Non-parametric stochastic sequential assignment with random arrival times D Dervovic, P Hassanzadeh, S Assefa, P Reddy arXiv preprint arXiv:2106.04944, 2021 | 3 | 2021 |
| For every quantum walk there is a (classical) lifted Markov chain with faster mixing time D Dervovic arXiv preprint arXiv:1712.02318, 2017 | 3 | 2017 |
| Calibrating over-parametrized simulation models: A framework via eligibility set Y Bai, T Balch, H Chen, D Dervovic, H Lam, S Vyetrenko arXiv preprint arXiv:2105.12893, 2021 | 1 | 2021 |
| Quantum Computation, Markov Chains and Combinatorial Optimisation D Dervovic UCL (University College London), 2020 | 1 | 2020 |
| Method and system for providing counterfactual explanations for artificial intelligence regression models T Spooner, D Dervovic, J Long, J Chen, J Shepard, D Magazzeni US Patent App. 17/326,625, 2022 | | 2022 |
| Method and system for performing non-parametric stochastic sequential assignment of jobs with random arrival times D Dervovic, P Hassanzadeh, PP Reddy, M Veloso, SA Assefa US Patent App. 17/660,728, 2022 | | 2022 |
| Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning D Dervovic, N Marchesotti, F Lecue, D Magazzeni arXiv preprint arXiv:2211.06360, 2022 | | 2022 |
| Optimal Stopping with Gaussian Processes K Dwarakanath, D Dervovic, P Tavallali, S Vyetrenko, T Balch Proceedings of the Third ACM International Conference on AI in Finance, 497-505, 2022 | | 2022 |
| Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction M Rigter, D Dervovic, P Hassanzadeh, J Long, P Zehtabi, D Magazzeni Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9918-9925, 2022 | | 2022 |
| Systems and methods for multi-agent based fraud detection SA Assefa, S Siddagangappa, D Dervovic, PP Reddy, MM Veloso US Patent App. 17/118,209, 2022 | | 2022 |
| Systems and methods for fraud detection using game theory SA Assefa, D Dervovic, S Siddagangappa, PP Reddy, MM Veloso, ... US Patent App. 16/941,647, 2022 | | 2022 |
| Tradeoffs in streaming binary classification under limited inspection resources P Hassanzadeh, D Dervovic, S Assefa, P Reddy, M Veloso Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | | 2021 |
| Perfect weak modular product graphs D Dervovic arXiv preprint arXiv:1809.09939, 2018 | | 2018 |
| Constructing graphs with limited resources D Dervovic, A Mocherla, S Severini arXiv preprint arXiv:1802.09844, 2018 | | 2018 |
Samuel A AssefaU.S. Bank; University of Cambridge; LSHTMVerified email at usbank.com
