Publications
My profiles on bibliographic databases such as semanticscholar, googlescholar, zentralblatt, dblp,
are the most up to date on my recent research. Below are links to recent journal papers.
Selected recent conference papers
2021-2024
Mehta et al. Distributionally Robust Optimization with Bias and Variance Reduction. ICLR 2024 - Spotlight Presentation.
Dziri, Lu, Sclar, et al. Faith and Fate: Limits of Transformers on Compositionality. NEURIPS 2023 - Spotlight Presentation.
Fisher et al. Influence Diagnostics under Self-concordance. AISTATS 2023. ASA Honorable Mention Student Award.
Irons et al. Triangular Flows for Generative Modeling -. AISTATS 2022.
Liu et al. Orthogonal Statistical Learning with Self-Concordant Loss. COLT 2022. Z. W. Birnbaum Award.
Scetbon, Harchaoui. A Spectral Analysis of Dot-product Kernels. AISTATS 2021.
Scetbon, Harchaoui. Harmonic Decompositions of Convolutional Networks. ICML 2020.
More can be found here.
Selected recent journal papers
2021-2024
Ding et al. Flat minima generalize for low-rank matrix recovery. Information and inference 2024. URL.
Pillutla, Liu, et al. Mauve Scores for Generative Modeling -. Journal of Machine Learning Research 2023. URL. Code. Best Paper Award Issue.
Liu, et al. Asymptotics of Discrete Schrödinger Bridges via Chaos Decomposition. Bernoulli 2023. URL. Neurips OTML Best Paper Award.
Cutler et al. Stochastic Optimization under Distributional Drift. Journal of Machine Learning Research 2022. URL.
Pillutla et al. Robust Aggregation for Federated Learning. IEEE Trans. Signal Processing 2022. URL. Code. Top 20 Most Downloaded Paper.
Jones et al. Discriminative Learning with Representation Learning -. Statistics and Computing. 2022. URL. ASA Best Student Paper Award.
Pillutla, Laguel, et al. Federated Learning with Heterogeneous Data -. Machine Learning Journal, online first, 2022. URL. Code.
More can be found here.