Author Information

Ferdinando Fioretto (Syracuse University)

I am an assistant professor of Computer Science at UVA. I lead the Responsible AI for Science and Engineering (RAISE) group where we make advances in artificial intelligence with focus on two key themes: - AI for Science and Engineering: We develop the foundations to blend deep learning and constrained optimization for complex scientific and engineering problems. - Trustworthy & Responsible AI: We analyze the equity of AI systems in support of decision-making and learning tasks, focusing especially on privacy and fairness.

Amir-Hossein Karimi (Max Planck Institute for Intelligent Systems)

Pratyusha Kalluri (Stanford University)

Reza Shokri (National University of Singapore)

Elizabeth Watkins (Intel Labs Intelligent Systems Research)

Su Lin Blodgett (Microsoft Research)

More from the Same Authors

• 2020 : SOTERIA: In Search of Efficient Neural Networks for Private Inference »
  Reza Shokri
• 2021 Spotlight: Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent »
  Rishav Chourasia · Jiayuan Ye · Reza Shokri
• 2023 Poster: Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy »
  Chendi Wang · Buxin Su · Jiayuan Ye · Reza Shokri · Weijie Su
• 2023 Poster: Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks »
  Jiayuan Ye · Zhenyu Zhu · Fanghui Liu · Reza Shokri · Volkan Cevher
• 2023 Workshop: Socially Responsible Language Modelling Research (SoLaR) »
  Usman Anwar · David Krueger · Samuel Bowman · Jakob Foerster · Su Lin Blodgett · Roberta Raileanu · Alan Chan · Katherine Lee · Laura Ruis · Robert Kirk · Yawen Duan · Xin Chen · Kawin Ethayarajh
• 2023 Workshop: Algorithmic Fairness through the Lens of Time »
  Awa Dieng · Miriam Rateike · Golnoosh Farnadi · Ferdinando Fioretto · Jessica Schrouff
• 2022 Spotlight: Pruning has a disparate impact on model accuracy »
  Cuong Tran · Ferdinando Fioretto · Jung-Eun Kim · Rakshit Naidu
• 2022 Workshop: Algorithmic Fairness through the Lens of Causality and Privacy »
  Awa Dieng · Miriam Rateike · Golnoosh Farnadi · Ferdinando Fioretto · Matt Kusner · Jessica Schrouff
• 2022 Poster: Pruning has a disparate impact on model accuracy »
  Cuong Tran · Ferdinando Fioretto · Jung-Eun Kim · Rakshit Naidu
• 2022 Poster: Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) »
  Jiayuan Ye · Reza Shokri
• 2021 Poster: Differentially Private Empirical Risk Minimization under the Fairness Lens »
  Cuong Tran · My Dinh · Ferdinando Fioretto
• 2021 Poster: Learning Hard Optimization Problems: A Data Generation Perspective »
  James Kotary · Ferdinando Fioretto · Pascal Van Hentenryck
• 2021 Poster: Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent »
  Rishav Chourasia · Jiayuan Ye · Reza Shokri
• 2020 : Contributed Talk 3: Algorithmic Recourse: from Counterfactual Explanations to Interventions »
  Amir-Hossein Karimi · Bernhard Schölkopf · Isabel Valera
• 2020 : Q&A with Reza »
  Reza Shokri
• 2020 : Invited: Reza Shokri »
  Reza Shokri
• 2020 : A survey of algorithmic recourse: definitions, formulations, solutions, and prospects »
  Amir-Hossein Karimi
• 2020 : Dreaming Up Resistance AI Activity »
  Pratyusha Kalluri
• 2020 Workshop: Resistance AI Workshop »
  Suzanne Kite · Mattie Tesfaldet · J Khadijah Abdurahman · William Agnew · Elliot Creager · Agata Foryciarz · Raphael Gontijo Lopes · Pratyusha Kalluri · Marie-Therese Png · Manuel Sabin · Maria Skoularidou · Ramon Vilarino · Rose Wang · Sayash Kapoor · Micah Carroll
• 2020 : Invited Talk #1: Reza Shokri (National University of Singapore) »
  Reza Shokri
• 2020 Poster: Algorithmic recourse under imperfect causal knowledge: a probabilistic approach »
  Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
• 2020 Spotlight: Algorithmic recourse under imperfect causal knowledge: a probabilistic approach »
  Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
• 2019 Workshop: Information Theory and Machine Learning »
  Shengjia Zhao · Jiaming Song · Yanjun Han · Kristy Choi · Pratyusha Kalluri · Ben Poole · Alex Dimakis · Jiantao Jiao · Tsachy Weissman · Stefano Ermon
• 2017 : Poster session + Coffee break »
  Mikael Kågebäck · Igor Melnyk · Amir-Hossein Karimi · Gino Brunner · Ershad Banijamali · Chris Donahue · Jake Zhao · Giambattista Parascandolo · Valentin Thomas · Abhishek Kumar · Chris Burgess · Amanda Nilsson · Maria Larsson · Cian Eastwood · Momchil Peychev