Toniann Pitassi
11 papers · 2015–2025 · 5 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20)
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(10)
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(7)
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(3)
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(2)
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(2)
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(2)
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(1)
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risk management
(3)
statistical learning
(2)
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(2)
representation learning
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sample complexity
(1)
hierarchical bayesian
(1)
algorithmic fairness
(1)
function approximation
(1)
few-shot learning
(1)
prompt engineering
(1)
bayesian inference
(1)
pac learning
(1)
minimax rate
(1)
agnostic learning
(1)
dynamical system
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domain adaptation
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disentangled representation
(1)
boolean function
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decision tree
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adversarial learning
(1)
Papers
Testing Juntas and Junta Subclasses with Relative Error
COLT 2025
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
ICLR 2024
Distribution-Free Statistical Dispersion Control for Societal Applications
NeurIPS 2023
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
ICLR 2023
On Learning and Refutation in Noninteractive Local Differential Privacy
NeurIPS 2022
Size and Depth Separation in Approximating Benign Functions with Neural Networks
COLT 2021
Theoretical bounds on estimation error for meta-learning
ICLR 2021
Causal Modeling for Fairness In Dynamical Systems
ICML 2020
Flexibly Fair Representation Learning by Disentanglement
ICML 2019
Learning Adversarially Fair and Transferable Representations
ICML 2018
Inapproximability of Treewidth and Related Problems (Extended Abstract)
IJCAI 2015