![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Kristjan H. Greenewald
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i42]Wei Sun, Scott McFaddin, Linh Ha Tran, Shivaram Subramanian, Kristjan H. Greenewald, Yeshi Tenzin, Zack Xue, Youssef Drissi, Markus Ettl:
PresAIse, A Prescriptive AI Solution for Enterprises. CoRR abs/2402.02006 (2024) - [i41]Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon:
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR abs/2402.16842 (2024) - [i40]Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh:
Thermometer: Towards Universal Calibration for Large Language Models. CoRR abs/2403.08819 (2024) - [i39]Cynthia Dwork, Kristjan H. Greenewald, Manish Raghavan:
Synthetic Census Data Generation via Multidimensional Multiset Sum. CoRR abs/2404.10095 (2024) - [i38]Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon:
Score Distillation via Reparametrized DDIM. CoRR abs/2405.15891 (2024) - [i37]Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR abs/2406.04047 (2024) - [i36]Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross:
Distributional Preference Alignment of LLMs via Optimal Transport. CoRR abs/2406.05882 (2024) - [i35]Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan H. Greenewald, Youssef Mroueh:
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking. CoRR abs/2406.06425 (2024) - [i34]Anming Gu, Edward Chien, Kristjan H. Greenewald:
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior. CoRR abs/2406.07475 (2024) - [i33]Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR abs/2407.00066 (2024) - [i32]Piero Orderique, Wei Sun, Kristjan H. Greenewald:
Domain Adaptable Prescriptive AI Agent for Enterprise. CoRR abs/2407.20447 (2024) - 2023
- [j8]Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien:
k-Mixup Regularization for Deep Learning via Optimal Transport. Trans. Mach. Learn. Res. 2023 (2023) - [c28]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. AISTATS 2023: 10445-10469 - [c27]Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. ICLR 2023 - [c26]Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu:
High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. ISIT 2023: 2613-2618 - [c25]Dor Tsur, Ziv Goldfeld, Kristjan H. Greenewald:
Max-Sliced Mutual Information. NeurIPS 2023 - [c24]Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava:
Post-processing Private Synthetic Data for Improving Utility on Selected Measures. NeurIPS 2023 - [c23]Jiaqi Zhang, Kristjan H. Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler:
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS 2023 - [i31]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. CoRR abs/2302.11838 (2023) - [i30]Kristjan H. Greenewald, Brian Kingsbury, Yuancheng Yu:
High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. CoRR abs/2305.04712 (2023) - [i29]Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan H. Greenewald, Akash Srivastava:
Post-processing Private Synthetic Data for Improving Utility on Selected Measures. CoRR abs/2305.15538 (2023) - [i28]Jiaqi Zhang, Chandler Squires, Kristjan H. Greenewald, Akash Srivastava, Karthikeyan Shanmugam
, Caroline Uhler
:
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. CoRR abs/2307.06250 (2023) - [i27]Dor Tsur, Ziv Goldfeld, Kristjan H. Greenewald:
Max-Sliced Mutual Information. CoRR abs/2309.16200 (2023) - [i26]Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross:
Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR abs/2310.07132 (2023) - 2022
- [j7]Justin Solomon
, Kristjan H. Greenewald, Haikady N. Nagaraja:
$k$-Variance: A Clustered Notion of Variance. SIAM J. Math. Data Sci. 4(3): 957-978 (2022) - [c22]Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu:
Entropic Causal Inference: Graph Identifiability. ICML 2022: 4311-4343 - [c21]Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ICML 2022: 20106-20124 - [c20]Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves:
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. NeurIPS 2022 - [i25]Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022) - [i24]Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR abs/2202.01671 (2022) - [i23]Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha, Galen Reeves:
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension. CoRR abs/2206.08526 (2022) - [i22]Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin:
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR abs/2210.06759 (2022) - 2021
- [c19]Kristjan H. Greenewald, Karthikeyan Shanmugam
, Dmitriy A. Katz-Rogozhnikov:
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. AISTATS 2021: 2224-2232 - [c18]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. NeurIPS 2021: 8294-8306 - [c17]Ziv Goldfeld, Kristjan H. Greenewald:
Sliced Mutual Information: A Scalable Measure of Statistical Dependence. NeurIPS 2021: 17567-17578 - [c16]Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving approximate optimal transport distances using quantization. UAI 2021: 290-300 - [i21]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. CoRR abs/2101.03501 (2021) - [i20]Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving Approximate Optimal Transport Distances using Quantization. CoRR abs/2102.12731 (2021) - [i19]Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien:
k-Mixup Regularization for Deep Learning via Optimal Transport. CoRR abs/2106.02933 (2021) - [i18]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. CoRR abs/2106.03314 (2021) - [i17]Ziv Goldfeld, Kristjan H. Greenewald:
Sliced Mutual Information: A Scalable Measure of Statistical Dependence. CoRR abs/2110.05279 (2021) - 2020
- [j6]Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy
:
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 18:1-18:22 (2020) - [j5]Ziv Goldfeld
, Kristjan H. Greenewald, Jonathan Niles-Weed, Yury Polyanskiy:
Convergence of Smoothed Empirical Measures With Applications to Entropy Estimation. IEEE Trans. Inf. Theory 66(7): 4368-4391 (2020) - [c15]Ziv Goldfeld, Kristjan H. Greenewald:
Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency. AISTATS 2020: 3327-3337 - [c14]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. NeurIPS 2020 - [c13]Ziv Goldfeld, Kristjan H. Greenewald, Kengo Kato:
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance. NeurIPS 2020 - [c12]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
:
Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS 2020 - [i16]Neil C. Thompson
, Kristjan H. Greenewald, Keeheon Lee, Gabriel F. Manso:
The Computational Limits of Deep Learning. CoRR abs/2007.05558 (2020) - [i15]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR abs/2011.00641 (2020) - [i14]Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam:
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. CoRR abs/2011.01979 (2020) - [i13]Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
k-Variance: A Clustered Notion of Variance. CoRR abs/2012.06958 (2020)
2010 – 2019
- 2019
- [c11]Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Deep Neural Networks. ICML 2019: 2299-2308 - [c10]Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni:
Bayesian Nonparametric Federated Learning of Neural Networks. ICML 2019: 7252-7261 - [c9]Ziv Goldfeld, Kristjan H. Greenewald, Jonathan Weed, Yury Polyanskiy:
Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions. ISIT 2019: 892-896 - [c8]Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang:
Statistical Model Aggregation via Parameter Matching. NeurIPS 2019: 10954-10964 - [c7]Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam
, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler:
Sample Efficient Active Learning of Causal Trees. NeurIPS 2019: 14279-14289 - [i12]Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni:
Bayesian Nonparametric Federated Learning of Neural Networks. CoRR abs/1905.12022 (2019) - [i11]Ziv Goldfeld, Kristjan H. Greenewald, Yury Polyanskiy, Jonathan Weed:
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation. CoRR abs/1905.13576 (2019) - [i10]Akash Srivastava, Kristjan H. Greenewald, Farzaneh Mirzazadeh:
BreGMN: scaled-Bregman Generative Modeling Networks. CoRR abs/1906.00313 (2019) - [i9]Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy:
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. CoRR abs/1909.03539 (2019) - [i8]Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang:
Statistical Model Aggregation via Parameter Matching. CoRR abs/1911.00218 (2019) - 2018
- [j4]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
:
Ensemble Estimation of Information Divergence †. Entropy 20(8): 560 (2018) - [i7]Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Neural Networks. CoRR abs/1810.05728 (2018) - 2017
- [j3]Kristjan H. Greenewald, Stephen Kelley, Brandon Oselio, Alfred O. Hero III:
Similarity Function Tracking Using Pairwise Comparisons. IEEE Trans. Signal Process. 65(21): 5635-5648 (2017) - [c6]Kristjan H. Greenewald, Seyoung Park, Shuheng Zhou, Alexander Giessing:
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis. NIPS 2017: 5832-5840 - [c5]Kristjan H. Greenewald, Ambuj Tewari, Susan A. Murphy, Predrag V. Klasnja:
Action Centered Contextual Bandits. NIPS 2017: 5977-5985 - [i6]Kristjan H. Greenewald, Stephen Kelley, Brandon Oselio, Alfred O. Hero III:
Similarity Function Tracking using Pairwise Comparisons. CoRR abs/1701.02804 (2017) - 2016
- [j2]Kristjan H. Greenewald, Edmund G. Zelnio, Alfred O. Hero III:
Robust SAR STAP via Kronecker decomposition. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2612-2625 (2016) - [c4]Kristjan H. Greenewald, Stephen Kelley, Alfred O. Hero III:
Dynamic metric learning from pairwise comparisons. Allerton 2016: 1327-1334 - [c3]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving convergence of divergence functional ensemble estimators. ISIT 2016: 1133-1137 - [i5]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving Convergence of Divergence Functional Ensemble Estimators. CoRR abs/1601.06884 (2016) - [i4]Kristjan H. Greenewald, Stephen Kelley, Alfred O. Hero III:
Distance Metric Tracking. CoRR abs/1603.03678 (2016) - [i3]Kristjan H. Greenewald, Edmund G. Zelnio, Alfred O. Hero III:
Robust SAR STAP via Kronecker Decomposition. CoRR abs/1605.01790 (2016) - [i2]Kristjan H. Greenewald, Stephen Kelley, Alfred O. Hero III:
Dynamic Metric Learning from Pairwise Comparisons. CoRR abs/1610.03090 (2016) - 2015
- [j1]Kristjan H. Greenewald, Alfred O. Hero III:
Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation. IEEE Trans. Signal Process. 63(23): 6368-6378 (2015) - 2014
- [c2]Kristjan H. Greenewald, Alfred O. Hero III:
Regularized block Toeplitz covariance matrix estimation via Kronecker product expansions. SSP 2014: 9-12 - [i1]Kristjan H. Greenewald, Alfred O. Hero III:
Kronecker PCA Based Spatio-Temporal Modeling of Video for Dismount Classification. CoRR abs/1405.4574 (2014) - 2013
- [c1]Kristjan H. Greenewald, Theodoros Tsiligkaridis, Alfred O. Hero III:
Kronecker sum decompositions of space-time data. CAMSAP 2013: 65-68
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-22 19:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint