Quantum linear systems algorithms: a primer. - Danial Dervovic; Mark Herbster; Peter Mountney; Simone Severini; Naïri Usher; Leonard Wossnig (CoRR, 2018)

Constructing graphs with limited resources. - Danial Dervovic; Avinash Mocherla; Simone Severini (CoRR, 2018)

Generating synthetic data in finance: opportunities, challenges and pitfalls. - Samuel A. Assefa; Danial Dervovic; Mahmoud Mahfouz; Robert E. Tillman; Prashant Reddy; Manuela Veloso (ICAIF, 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 (ICAIF, 2020)

Quantum computation, Markov chains and combinatorial optimisation - Danial Dervovic (2020)

Tradeoffs in streaming binary classification under limited inspection resources. - Parisa Hassanzadeh; Danial Dervovic; Samuel Assefa; Prashant Reddy; Manuela Veloso (ICAIF, 2021)

Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. - Danial Dervovic; Parisa Hassanzadeh; Samuel Assefa; Prashant Reddy (IJCAI, 2021)

Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. - Yuanlu Bai; Tucker Balch; Haoxian Chen 002; Danial Dervovic; Henry Lam; Svitlana Vyetrenko (CoRR, 2021)

Counterfactual Explanations for Arbitrary Regression Models. - Thomas Spooner; Danial Dervovic; Jason Long; Jon Shepard; Jiahao Chen; Daniele Magazzeni (CoRR, 2021)

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 (AAAI, 2022)

Counterfactual Shapley Additive Explanations. - Emanuele Albini; Jason Long; Danial Dervovic; Daniele Magazzeni (FAccT, 2022)

Optimal Stopping with Gaussian Processes. - Kshama Dwarakanath; Danial Dervovic; Peyman Tavallali; Svitlana Vyetrenko; Tucker Balch (ICAIF, 2022)

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. - Danial Dervovic; Nicolas Marchesotti; Freddy Lécué; Daniele Magazzeni (CoRR, 2022)

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. - Emanuele Albini; Shubham Sharma; Saumitra Mishra; Danial Dervovic; Daniele Magazzeni (AIES, 2023)

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 001; Dana Dachman-Soled (ICML, 2024)

Are Logistic Models Really Interpretable? - Danial Dervovic; Freddy Lécué; Nicolas Marchesotti; Daniele Magazzeni (IJCAI, 2024)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification. - Zachary McBride Lazri; Danial Dervovic; Antigoni Polychroniadou; Ivan Brugere; Dana Dachman-Soled; Min Wu 001 (CoRR, 2024)

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. - Saeid Amiri; Parisa Zehtabi; Danial Dervovic; Michael Cashmore (CoRR, 2024)

Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. - Tianyu Cao; Natraj Raman; Danial Dervovic; Chenhao Tan (CoRR, 2024)

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. - Wenzhuo Tang; Haitao Mao; Danial Dervovic; Ivan Brugere; Saumitra Mishra; Yuying Xie 001; Jiliang Tang (CoRR, 2024)

A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. - Zachary McBride Lazri; Ivan Brugere; Xin Tian 018; Dana Dachman-Soled; Antigoni Polychroniadou; Danial Dervovic; Min Wu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels. - Danial Dervovic; Michael Cashmore (AISTATS, 2025)

MAFE: Multi-Agent Fair Environments for Decision-Making Systems. - Zachary McBride Lazri; Anirudh Nakra; Ivan Brugere; Danial Dervovic; Antigoni Polychroniadou; Furong Huang; Dana Dachman-Soled; Min Wu 001 (CoRR, 2025)

ELATE: Evolutionary Language model for Automated Time-series Engineering. - Andrew Murray; Danial Dervovic; Michael Cashmore (CoRR, 2025)