Songkai Xue

5 papers · 2020–2024 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Yuekai Sun (4) Mikhail Yurochkin (3) Xuefei Zhang (1) Subha Maity (1) Ji Zhu (1)

Research topics

Machine Learning (5) Artificial Intelligence (3) Application Areas (3) Core AI (3) Optimization & Theory (3) Mathematics & Optimization (2) Data Science & Analytics (1) Core Methods (1) Learning Types (1) Mathematics (1) Methods (1) Optimization (1)

Keywords

individual fairness (2) stochastic optimization (1) statistical inference (1) model misspecification (1) bias detection (1) machine learning fairness (1) hypothesis testing (1) risk minimization (1) constraint satisfaction (1) machine learning (1) distribution shift (1) maximum likelihood estimation (1) robust approximation (1) projected gradient descent (1) empirical risk (1) distributionally robust optimization (1) adversarial attack (1) node embedding (1) performative prediction (1) model training (1)

Papers

Distributionally Robust Performative Prediction NeurIPS 2024 Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NeurIPS 2022 Statistical inference for individual fairness ICLR 2021 A Flexible Latent Space Model for Multilayer Networks ICML 2020 Auditing ML Models for Individual Bias and Unfairness AISTATS 2020