Pitassi, Toniann

18 publications

COLT 2025 Testing Juntas and Junta Subclasses with Relative Error Xi Chen, William Pires, Toniann Pitassi, R. A. Servedio

TMLR 2024 Improving Predictor Reliability with Selective Recalibration Thomas P Zollo, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel

ICLR 2024 Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas P Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel

NeurIPS 2023 Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng, Thomas Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel

NeurIPSW 2023 Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel

ICLR 2023 Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions Jake Snell, Thomas P Zollo, Zhun Deng, Toniann Pitassi, Richard Zemel

NeurIPS 2022 On Learning and Refutation in Noninteractive Local Differential Privacy Alexander Edmonds, Aleksandar Nikolov, Toniann Pitassi

COLT 2021 Size and Depth Separation in Approximating Benign Functions with Neural Networks Gal Vardi, Daniel Reichman, Toniann Pitassi, Ohad Shamir

ICLR 2021 Theoretical Bounds on Estimation Error for Meta-Learning James Lucas, Mengye Ren, Irene Raissa KAMENI Kameni, Toniann Pitassi, Richard Zemel

ICML 2020 Causal Modeling for Fairness in Dynamical Systems Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel

ICML 2019 Flexibly Fair Representation Learning by Disentanglement Elliot Creager, David Madras, Joern-Henrik Jacobsen, Marissa Weis, Kevin Swersky, Toniann Pitassi, Richard Zemel

ICML 2018 Learning Adversarially Fair and Transferable Representations David Madras, Elliot Creager, Toniann Pitassi, Richard Zemel

IJCAI 2015 Inapproximability of Treewidth and Related Problems (Extended Abstract) Yu (Ledell) Wu, Per Austrin, Toniann Pitassi, David Liu

JAIR 2014 Inapproximability of Treewidth and Related Problems Yu Wu, Per Austrin, Toniann Pitassi, David Liu

JAIR 2009 Solving #SAT and Bayesian Inference with Backtracking Search Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi

AAAI 2008 Clause Learning Can Effectively P-Simulate General Propositional Resolution Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, Allen Van Gelder

UAI 2003 Value Elimination: Bayesian Interence via Backtracking Search Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi

NeurIPS 2000 A Gradient-Based Boosting Algorithm for Regression Problems Richard S. Zemel, Toniann Pitassi