conftrace_

machine learning theory

15 papers

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Also known as

ML THEORY

Co-occurring keywords · papers mentioning both

support vector machine (4) distribution shift (3) kernel methods (2) loss function (2) machine learning (2) multi-class classification (2) pac learning (2) binary classification (2) domain generalization (2) graph neural network (1)

Papers

Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection AAAI 2026 Distributionally Robust Performative Prediction NeurIPS 2024 Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024 What Can We Learn by Predicting Accuracy? WACV 2023 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022 Active Learning of Classifiers with Label and Seed Queries NeurIPS 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022 Leveraging Good Representations in Linear Contextual Bandits ICML 2021 On the mapping between Hopfield networks and Restricted Boltzmann Machines ICLR 2021 Simpson's Bias in NLP Training AAAI 2021 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Tighter PAC-Bayes Bounds NeurIPS 2006 Maximum Margin Algorithms with Boolean Kernels JMLR 2005