| 2025 | ICML | Feasible Action Search for Bandit Linear Programs via Thompson Sampling. | Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama |
| 2024 | ICML | Testing the Feasibility of Linear Programs with Bandit Feedback. | Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott |
| 2023 | COLT | On Classification-Calibration of Gamma-Phi Losses. | Yutong Wang, Clayton Scott |
| 2023 | ICML | Mixture Proportion Estimation Beyond Irreducibility. | Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott |
| 2022 | ICLR | VC dimension of partially quantized neural networks in the overparametrized regime. | Yutong Wang, Clayton Scott |
| 2021 | ICML | An exact solver for the Weston-Watkins SVM subproblem. | Yutong Wang, Clayton Scott |
| 2020 | COLT | Calibrated Surrogate Losses for Adversarially Robust Classification. | Han Bao, Clayton Scott, Masashi Sugiyama |
| 2019 | AISTATS | Top Feasible Arm Identification. | Julian Katz-Samuels, Clayton Scott |
| 2019 | ALT | A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation. | Clayton Scott |
| 2018 | AISTATS | Nonparametric Preference Completion. | Julian Katz-Samuels, Clayton Scott |
| 2018 | ICML | Feasible Arm Identification. | Julian Katz-Samuels, Clayton Scott |
| 2016 | ICML | Mixture Proportion Estimation via Kernel Embeddings of Distributions. | Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari |
| 2015 | AISTATS | A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy Labels. | Clayton Scott |
| 2014 | AISTATS | Decontamination of Mutually Contaminated Models. | Gilles Blanchard, Clayton Scott |
| 2014 | AISTATS | Class Proportion Estimation with Application to Multiclass Anomaly Rejection. | Tyler Sanderson, Clayton Scott |
| 2014 | ICASSP | Scalable sparse approximation of a sample mean. | Efren Cruz Cortes, Clayton Scott |
| 2013 | COLT | Classification with Asymmetric Label Noise: Consistency and Maximal Denoising. | Clayton Scott, Gilles Blanchard, Gregory Handy |
| 2011 | ICML | Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs. | Clayton Scott |
| 2011 | UAI | 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 |
| 2008 | ICASSP | Nested support vector machines. | Gyemin Lee, Clayton Scott |
| 2007 | ICASSP | The One Class Support Vector Machine Solution Path. | Gyemin Lee, Clayton Scott |