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Toni Pitassi

4 papers · 2013–2018 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3)
πŸ† Keyword Champion 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Venues

NeurIPS (3) ICML (1)

Top co-authors

Cynthia Dwork (2) Richard Zemel (2) Moritz Hardt (1) Arkadev Chattopadhya (1) Aaron Roth (1) Vitaly Feldman (1) Yu Wu (1) Omer Reingold (1) James Martens (1) Rich Zemel (1)

Research topics

Machine Learning (4) Application Areas (3) Core Methods (3) Artificial Intelligence (2) Learning Types (2) Optimization & Theory (2) Deep Learning (1) Architectures (1) Bayesian & Probabilistic Β· Artificial Intelligence (1) Bayesian & Probabilistic Β· Machine Learning (1) Core AI (1) Models (1)

Keywords

representation learning (2) algorithmic fairness (1) neural network theory (1) fair classification (1) probability distribution (1) human-computer interaction (1) representational efficiency (1) generative model (1) restricted boltzmann machine (1) distance metric (1) bias mitigation (1) group fairness (1) learning to defer (1) fair machine learning (1) individual fairness (1) adaptive data analysis (1) accuracy improvement (1) neural network (1) statistical validity (1) rejection learning (1)

Papers

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer NeurIPS 2018 Generalization in Adaptive Data Analysis and Holdout Reuse NeurIPS 2015 Learning Fair Representations ICML 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013