Danial Dervovic

According to our database, Danial Dervovic authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization.

Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore

CoRR, 2024

Balancing Fairness and Accuracy in Data-Restricted Binary Classification.

Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu

CoRR, 2024

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data.

Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu

CoRR, 2024

2023

A Canonical Data Transformation for Achieving Inter- and Within-group Fairness.

Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu

CoRR, 2023

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations.

Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning.

Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni

CoRR, 2022

Optimal Stopping with Gaussian Processes.

Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Counterfactual Shapley Additive Explanations.

Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction.

Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Counterfactual Explanations for Arbitrary Regression Models.

Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni

CoRR, 2021

Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set.

Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko

CoRR, 2021

Non-Parametric Stochastic Sequential Assignment With Random Arrival Times.

Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tradeoffs in streaming binary classification under limited inspection resources.

Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Get real: realism metrics for robust limit order book market simulations.

Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Generating synthetic data in finance: opportunities, challenges and pitfalls.

Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2018

Constructing graphs with limited resources.

Danial Dervovic, Avinash Mocherla, Simone Severini

CoRR, 2018

Quantum linear systems algorithms: a primer.

Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig

CoRR, 2018