Kristjan H. Greenewald
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior. | Anming Gu, Edward Chien, Kristjan H. Greenewald |
| 2025 | ICML | Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. | Rickard Brel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2024 | ICML | Slicing Mutual Information Generalization Bounds for Neural Networks. | Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brel Gabrielsson, Justin Solomon |
| 2024 | ICML | Risk Aware Benchmarking of Large Language Models. | Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jir Navrtil, Igor Melnyk, Jarret Ross |
| 2024 | ICML | Thermometer: Towards Universal Calibration for Large Language Models. | Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh |
| 2024 | ICML | Asymmetry in Low-Rank Adapters of Foundation Models. | Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sez de Ocriz Borde, Rickard Brel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon |
| 2024 | ISIT | Sharper Rates of Convergence for the Tensor Graphical Lasso Estimator. | Shuheng Zhou, Kristjan H. Greenewald |
| 2023 | AISTATS | Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. | Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu |
| 2023 | ICLR | Learning Proximal Operators to Discover Multiple Optima. | Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2023 | ISIT | High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. | Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu |
| 2022 | ICML | Entropic Causal Inference: Graph Identifiability. | Spencer Compton, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu |
| 2022 | ICML | Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. | Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon |
| 2021 | AISTATS | High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. | Kristjan H. Greenewald, Karthikeyan Shanmugam, Dmitriy A. Katz |
| 2021 | UAI | Improving approximate optimal transport distances using quantization. | Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon |
| 2020 | AISTATS | Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency. | Ziv Goldfeld, Kristjan H. Greenewald |
| 2019 | ICML | Estimating Information Flow in Deep Neural Networks. | Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy |
| 2019 | ICML | Bayesian Nonparametric Federated Learning of Neural Networks. | Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni |
| 2019 | ISIT | Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions. | Ziv Goldfeld, Kristjan H. Greenewald, Jonathan Weed, Yury Polyanskiy |
| 2016 | ISIT | Improving convergence of divergence functional ensemble estimators. | Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III |