| 2026 | COLT | Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more. | Spencer Compton, Jerry Li |
| 2026 | STOC | High-Accuracy List-Decodable Mean Estimation. | Ziyun Chen, Spencer Compton, Daniel M. Kane, Jerry Li |
| 2025 | COLT | Lower Bounds for Greedy Teaching Set Constructions. | Spencer Compton, Chirag Pabbaraju, Nikita Zhivotovskiy |
| 2025 | SODA | Embedding Probability Distributions into Low Dimensional ℓ | Moses Charikar, Spencer Compton, Chirag Pabbaraju |
| 2024 | STOC | Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances. | Spencer Compton, Gregory Valiant |
| 2024 | UAI | Computing Low-Entropy Couplings for Large-Support Distributions. | Samuel Sokota, Dylan Sam, Christian Schrder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter |
| 2023 | AISTATS | Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. | Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu |
| 2023 | ICALP | New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling. | Spencer Compton, Slobodan Mitrovic, Ronitt Rubinfeld |
| 2022 | ICML | Entropic Causal Inference: Graph Identifiability. | Spencer Compton, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu |
| 2022 | ISIT | A Tighter Approximation Guarantee for Greedy Minimum Entropy Coupling. | Spencer Compton |