Parisa Zehtabi

According to our database, Parisa Zehtabi authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Capacity planning and scheduling for jobs with uncertainty in resource usage and duration.

Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso

J. Supercomput., October, 2024

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens.

Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta

CoRR, 2024

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization.

Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

CoRR, 2024

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization.

Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore

CoRR, 2024

Contrastive Explanations of Centralized Multi-agent Optimization Solutions.

Parisa Zehtabi, Alberto Pozanco, Ayala Bolch, Daniel Borrajo, Sarit Kraus

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Temporal Fairness in Decision Making Problems.

Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates.

Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contrastive Explanations of Multi-agent Optimization Solutions.

Parisa Zehtabi, Alberto Pozanco, Ayala Bloch, Daniel Borrajo, Sarit Kraus

CoRR, 2023

Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models.

Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

CoRR, 2023

2022

Explaining Preference-Driven Schedules: The EXPRES Framework.

Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 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

Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans.

Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

Proceedings of the 28th International Symposium on Temporal Representation and Reasoning, 2021

2020

Planning for Hybrid Systems via Satisfiability Modulo Theories.

Michael Cashmore, Daniele Magazzeni, Parisa Zehtabi

J. Artif. Intell. Res., 2020

2019

Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans.

Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

CoRR, 2019

Robustness Envelopes for Temporal Plans.

Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019