Danial Dervovic

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Diffusion Model

Gaussian Processes

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu
Balancing Fairness and Accuracy in Data-Restricted Binary Classification. CoRR (2024)
Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni
Are Logistic Models Really Interpretable? CoRR (2024)
Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore
Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR (2024)
Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR (2024)
Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR (2024)
Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. CoRR (2024)
Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness. CoRR (2023)
Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. CoRR (2023)
Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. AIES (2023)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana S. Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. CoRR (2022)
Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. CoRR (2022)
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI (2022)
Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni
Counterfactual Shapley Additive Explanations. FAccT (2022)
Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali, Svitlana Vyetrenko, Tucker Balch
Optimal Stopping with Gaussian Processes. ICAIF (2022)
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR (2022)
Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni
Counterfactual Explanations for Arbitrary Regression Models. CoRR (2021)
Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR (2021)
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. CoRR (2021)
Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso
Tradeoffs in streaming binary classification under limited inspection resources. ICAIF (2021)
Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni
Counterfactual Shapley Additive Explanations. CoRR (2021)
Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. CoRR (2021)
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. IJCAI (2021)
Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch
Get real: realism metrics for robust limit order book market simulations. ICAIF (2020)
Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso
Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF (2020)
Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR (2019)
Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, Leonard Wossnig
Quantum linear systems algorithms: a primer. CoRR (2018)
Danial Dervovic, Avinash Mocherla, Simone Severini
Constructing graphs with limited resources. CoRR (2018)