Danial Dervovic

38 papers A* 4A 1C 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibrating Non-Identifiable High-Dimensional Simulation Models: A Framework via Eligibility Set. ACM Trans. Model. Comput. Simul. Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
2026	J	`jnl`	GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models. CoRR Andrew Murray, Danial Dervovic, Alberto Pozanco, Michael Cashmore
2025	J	`jnl`	Balancing Fairness and Accuracy in Data-Restricted Binary Classification. ACM Trans. Knowl. Discov. Data Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Furong Huang, Min Wu
2025	J	`jnl`	ELATE: Evolutionary Language model for Automated Time-series Engineering. CoRR Andrew Murray, Danial Dervovic, Michael Cashmore
2025	J	`jnl`	MAFE: Multi-Agent Fair Environments for Decision-Making Systems. CoRR Zachary McBride Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu
2025	A	`conf`	Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels. AISTATS Danial Dervovic, Michael Cashmore
2025	J	`jnl`	Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels. CoRR Danial Dervovic, Michael Cashmore
2024	J	`jnl`	A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Trans. Inf. Forensics Secur. Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
2024	A*	`conf`	Are Logistic Models Really Interpretable? IJCAI Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni
2024	J	`jnl`	Are Logistic Models Really Interpretable? CoRR Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni
2024	J	`jnl`	Balancing Fairness and Accuracy in Data-Restricted Binary Classification. CoRR Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu
2024	A*	`conf`	Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. ICML Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled
2024	J	`jnl`	Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. CoRR Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu
2024	J	`jnl`	Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
2024	J	`jnl`	Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
2024	J	`jnl`	Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore
2023	J	`jnl`	A Canonical Data Transformation for Achieving Inter- and Within-group Fairness. CoRR Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
2023	C	`conf`	On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. AIES Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni
2023	J	`jnl`	On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. CoRR Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni
2022	—	`conf`	Counterfactual Shapley Additive Explanations. FAccT Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni
2022	A*	`conf`	Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
2022	J	`jnl`	Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
2022	—	`conf`	Optimal Stopping with Gaussian Processes. ICAIF Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
2022	J	`jnl`	Optimal Stopping with Gaussian Processes. CoRR Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
2022	J	`jnl`	Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. CoRR Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni
2021	J	`jnl`	Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. CoRR Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
2021	J	`jnl`	Counterfactual Explanations for Arbitrary Regression Models. CoRR Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni
2021	J	`jnl`	Counterfactual Shapley Additive Explanations. CoRR Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni
2021	A*	`conf`	Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. IJCAI Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
2021	J	`jnl`	Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. CoRR Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
2021	J	`jnl`	Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
2021	—	`conf`	Tradeoffs in streaming binary classification under limited inspection resources. ICAIF Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
2020	—	`conf`	Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso
2020	—	`conf`	Get real: realism metrics for robust limit order book market simulations. ICAIF Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch
2020	—	`—`	Quantum computation, Markov chains and combinatorial optimisation Danial Dervovic
2019	J	`jnl`	Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch
2018	J	`jnl`	Constructing graphs with limited resources. CoRR Danial Dervovic, Avinash Mocherla, Simone Severini
2018	J	`jnl`	Quantum linear systems algorithms: a primer. CoRR Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig