Scott, Clayton

37 publications

ICML 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama

TMLR 2025 Label Embedding via Low-Coherence Matrices Jianxin Zhang, Clayton Scott

NeurIPS 2024 Label Noise: Ignorance Is Bliss Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott

NeurIPSW 2024 Label Noise: Ignorance Is Bliss Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott

ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott

NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data Hrithik Ravi, Clayton Scott, Daniel Soudry, Yutong Wang

JMLR 2024 Unified Binary and Multiclass Margin-Based Classification Yutong Wang, Clayton Scott

ICML 2023 Mixture Proportion Estimation Beyond Irreducibility Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott

COLT 2023 On Classification-Calibration of Gamma-Phi Losses Yutong Wang, Clayton Scott

ICLR 2022 VC Dimension of Partially Quantized Neural Networks in the Overparametrized Regime Yutong Wang, Clayton Scott

ICML 2021 An Exact Solver for the Weston-Watkins SVM Subproblem Yutong Wang, Clayton Scott

JMLR 2021 Domain Generalization by Marginal Transfer Learning Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan, Gyemin Lee, Clayton Scott

NeurIPS 2020 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations Alexander Ritchie, Robert A Vandermeulen, Clayton Scott

NeurIPS 2020 Learning from Label Proportions: A Mutual Contamination Framework Clayton Scott, Jianxin Zhang

NeurIPS 2020 Weston-Watkins Hinge Loss and Ordered Partitions Yutong Wang, Clayton Scott

ALT 2019 A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation Clayton Scott

JMLR 2019 Decontamination of Mutual Contamination Models Julian Katz-Samuels, Gilles Blanchard, Clayton Scott

AISTATS 2019 Top Feasible Arm Identification Julian Katz-Samuels, Clayton Scott

AISTATS 2018 Nonparametric Preference Completion Julian Katz-Samuels, Clayton Scott

ICML 2016 Mixture Proportion Estimation via Kernel Embeddings of Distributions Harish Ramaswamy, Clayton Scott, Ambuj Tewari

AISTATS 2015 A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy Labels Clayton Scott

AISTATS 2014 Class Proportion Estimation with Application to Multiclass Anomaly Rejection Tyler Sanderson, Clayton Scott

AISTATS 2014 Decontamination of Mutually Contaminated Models Gilles Blanchard, Clayton Scott

NeurIPS 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space Robert A Vandermeulen, Clayton Scott

COLT 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Clayton Scott, Gilles Blanchard, Gregory Handy

AISTATS 2011 Active Diagnosis Under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach Gowtham Bellala, Suresh Bhavnani, Clayton Scott

UAI 2011 Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks Gowtham Bellala, Jason Stanley, Clayton Scott, Suresh K. Bhavnani

NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample Gilles Blanchard, Gyemin Lee, Clayton Scott

ICML 2011 Surrogate Losses and Regret Bounds for Cost-Sensitive Classification with Example-Dependent Costs Clayton Scott

NeurIPS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs Gowtham Bellala, Suresh Bhavnani, Clayton Scott

JMLR 2010 Semi-Supervised Novelty Detection Gilles Blanchard, Gyemin Lee, Clayton Scott

AISTATS 2009 Novelty Detection: Unlabeled Data Definitely Help Clayton Scott, Gilles Blanchard

NeurIPS 2008 Performance Analysis for L\_2 Kernel Classification Jooseuk Kim, Clayton Scott

NeurIPS 2005 Learning Minimum Volume Sets Clayton Scott, Robert Nowak

NeurIPS 2004 On the Adaptive Properties of Decision Trees Clayton Scott, Robert Nowak

NeurIPS 2003 Near-Minimax Optimal Classification with Dyadic Classification Trees Clayton Scott, Robert Nowak

NeurIPS 2002 Dyadic Classification Trees via Structural Risk Minimization Clayton Scott, Robert Nowak