| 2025 | AISTATS | Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels. | Danial Dervovic, Michael Cashmore |
| 2025 | SoCS | Surrogate-Assisted Monte-Carlo Tree Search in Facility Location and Beyond (Extended Abstract). | Saeid Amiri, Danial Dervovic, Parisa Zehtabi, Michael Cashmore |
| 2024 | ICML | Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. | Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled |
| 2024 | IJCAI | Are Logistic Models Really Interpretable? | Danial Dervovic, Freddy Lcu, Nicolas Marchesotti, Daniele Magazzeni |
| 2023 | AIES | On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. | Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni |
| 2022 | AAAI | 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 |
| 2021 | IJCAI | Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. | Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy |