Ferdinando Fioretto

CoRR, 2024

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages.

[BibT_eX]

[DOI]

CoRR, 2024

Disparate Impact on Group Accuracy of Linearization for Private Inference.

[BibT_eX]

[DOI]

Saswat Das

Marco Romanelli

CoRR, 2024

Projected Generative Diffusion Models for Constraint Satisfaction.

[BibT_eX]

[DOI]

Jacob K. Christopher

Stephen Baek

CoRR, 2024

Finding ε and δ of Traditional Disclosure Control Systems.

[BibT_eX]

[DOI]

Saswat Das

Christine Task

Nishaanth Kanna Ravichandran

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

2023

Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

On The Fairness Impacts of Hardware Selection in Machine Learning.

[BibT_eX]

[DOI]

Sree Harsha Nelaturu

Sara Hooker

CoRR, 2023

Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization.

[BibT_eX]

[DOI]

Vincenzo Di Vito

Jacob Christopher

CoRR, 2023

Price-Aware Deep Learning for Electricity Markets.

[BibT_eX]

[DOI]

Vladimir Dvorkin

CoRR, 2023

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.

[BibT_eX]

[DOI]

CoRR, 2023

Data Minimization at Inference Time.

[BibT_eX]

[DOI]

CoRR, 2023

FairDP: Certified Fairness with Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Privacy Auditing and Optimization at Test Time.

[BibT_eX]

[DOI]

CoRR, 2023

Context-Aware Differential Privacy for Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Privacy and Bias Analysis of Disclosure Avoidance Systems.

[BibT_eX]

[DOI]

Saswat Das

Christine Task

CoRR, 2023

Folded Optimization for End-to-End Model-Based Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Model Selection for Ensemble Learning.

[BibT_eX]

[DOI]

Vincenzo Di Vito

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Backpropagation of Unrolled Solvers with Folded Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On the Fairness Impacts of Private Ensembles Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

End-to-End Optimization and Learning for Multiagent Ensembles.

[BibT_eX]

[DOI]

Vincenzo Di Vito

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Proactive Dynamic Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Fairness Increases Adversarial Vulnerability.

[BibT_eX]

[DOI]

CoRR, 2022

Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support.

[BibT_eX]

[DOI]

Mostafa Mohammadian

Kyri Baker

CoRR, 2022

Deadwooding: Robust Global Pruning for Deep Neural Networks.

[BibT_eX]

[DOI]

Sawinder Kaur

Asif Salekin

CoRR, 2022

Differentially-Private Heat and Electricity Markets Coordination.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-End Learning for Fair Ranking Systems.

[BibT_eX]

[DOI]

Ziwei Zhu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Pruning has a disparate impact on model accuracy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Post-processing of Differentially Private Data: A Fairness Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Integrating Machine Learning and Optimization to Boost Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop, 2022

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions.

[BibT_eX]

[DOI]

CoRR, 2021

A Fairness Analysis on Private Aggregation of Teacher Ensembles.

[BibT_eX]

[DOI]

CoRR, 2021

Differentially Private Deep Learning under the Fairness Lens.

[BibT_eX]

[DOI]

CoRR, 2021

A Privacy-Preserving and Trustable Multi-agent Learning Framework.

[BibT_eX]

[DOI]

Anudit Nagar

CoRR, 2021

Decision Making with Differential Privacy under a Fairness Lens.

[BibT_eX]

[DOI]

CoRR, 2021

Load Embeddings for Scalable AC-OPF Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Differential privacy of hierarchical Census data: An optimization approach.

[BibT_eX]

[DOI]

Artif. Intell., 2021

Differentially Private Empirical Risk Minimization under the Fairness Lens.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Hard Optimization Problems: A Data Generation Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

End-to-End Constrained Optimization Learning: A Survey.

[BibT_eX]

[DOI]

Bryan Wilder

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Decision Making with Differential Privacy under a Fairness Lens.

[BibT_eX]

[DOI]

Zhiyan Yao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Constrained-Based Differential Privacy (Invited Talk).

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

Privacy-Preserving and Accountable Multi-agent Learning.

[BibT_eX]

[DOI]

Anudit Nagar

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Bias and Variance of Post-processing in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Differential Privacy for Power Grid Obfuscation.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow.

[BibT_eX]

[DOI]

Minas Chatzos

CoRR, 2020

Differentially Private Convex Optimization with Feasibility Guarantees.

[BibT_eX]

[DOI]

Vladimir Dvorkin

Jalal Kazempour

Pierre Pinson

CoRR, 2020

Differentially Private Optimal Power Flow for Distribution Grids.

[BibT_eX]

[DOI]

Vladimir Dvorkin

Jalal Kazempour

Pierre Pinson

CoRR, 2020

Bilevel Optimization for Differentially Private Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

A Lagrangian Dual Framework for Deep Neural Networks with Constraints.

[BibT_eX]

[DOI]

CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

[BibT_eX]

[DOI]

AI Mag., 2020

The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach.

[BibT_eX]

[DOI]

Atena M. Tabakhi

Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Lagrangian Duality for Constrained Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Differential Privacy for Stackelberg Games.

[BibT_eX]

[DOI]

Lesia Mitridati

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

OptStream: Releasing Time Series Privately (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

OptStream: Releasing Time Series Privately.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2019

PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets.

[BibT_eX]

[DOI]

Lesia Mitridati

CoRR, 2019

Privacy-Preserving Obfuscation for Distributed Power Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Privacy-Preserving Obfuscation of Critical Infrastructure Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Differential Privacy of Hierarchical Census Data: An Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2019

Privacy-Preserving Federated Data Sharing.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Past and present (and future) of parallel and distributed computation in (constraint) logic programming.

[BibT_eX]

[DOI]

Theory Pract. Log. Program., 2018

Distributed Constraint Optimization Problems and Applications: A Survey.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2018

Distributed multi-agent optimization for smart grids and home automation.

[BibT_eX]

[DOI]

Agostino Dovier

Intelligenza Artificiale, 2018

Differential Private Stream Processing of Energy Consumption.

[BibT_eX]

[DOI]

CoRR, 2018

Accelerating exact and approximate inference for (distributed) discrete optimization with GPUs.

[BibT_eX]

[DOI]

Constraints An Int. J., 2018

AI buzzwords explained: distributed constraint optimization problems.

[BibT_eX]

[DOI]

AI Matters, 2018

Solving Multiagent Constraint Optimization Problems on the Constraint Composite Graph.

[BibT_eX]

[DOI]

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Constraint Composite Graph-Based Lifted Message Passing for Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately - Releasing Optimal Power Flow Benchmarks Privately.

[BibT_eX]

[DOI]

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

A Large Neighboring Search Schema for Multi-agent Optimization.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2018

Constrained-Based Differential Privacy for Mobility Services.

[BibT_eX]

[DOI]

Chansoo Lee

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Solving DCOPs with Distributed Large Neighborhood Search.

[BibT_eX]

[DOI]

CoRR, 2017

Preference Elicitation for DCOPs.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2017

A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs.

[BibT_eX]

[DOI]

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

Infinite-Horizon Proactive Dynamic DCOPs.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Distributed Constraint Optimization (DCOP) Approach to the Economic Dispatch with Demand Response.

[BibT_eX]

[DOI]

Satishkumar J. Ranade

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Multiagent System Approach to Scheduling Devices in Smart Homes.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Exploiting the Structure of Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

PhD thesis, 2016

A Dynamic Programming-Based MCMC Framework for Solving DCOPs with GPUs.

[BibT_eX]

[DOI]

Moinul Morshed Porag Chowdhury

Proceedings of the Principles and Practice of Constraint Programming, 2016

ER-DCOPs: A Framework for Distributed Constraint Optimization with Uncertainty in Constraint Utilities.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Proactive Dynamic Distributed Constraint Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Investigation of Learning Strategies for the SPOT Broker in Power TAC.

[BibT_eX]

[DOI]

Russell Y. Folk

Christopher Kiekintveld

Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2016

Proactive Dynamic DCOPs.

[BibT_eX]

[DOI]

Proceedings of the AI for Smart Grids and Smart Buildings, 2016

Multi-Variable Agents Decomposition for DCOPs.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Constrained Community-Based Gene Regulatory Network Inference.

[BibT_eX]

[DOI]

Agostino Dovier

ACM Trans. Model. Comput. Simul., 2015

Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2015

Large Neighborhood Search with Quality Guarantees for Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-Variable Agents Decomposition for DCOPs to Exploit Multi-Level Parallelism.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Exploiting the Structure of Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploring the Use of GPUs in Constraint Solving.

[BibT_eX]

[DOI]

Proceedings of the Practical Aspects of Declarative Languages, 2014

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2014

GD-GIBBS: a GPU-based sampling algorithm for solving distributed constraint optimization problems.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

A Constraint Solver for Flexible Protein Model.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2013

Constraint Programming in Community-Based Gene Regulatory Network Inference.

[BibT_eX]

[DOI]