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2020 – today
- 2022
[c11]Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten:
Bounding Training Data Reconstruction in Private (Deep) Learning. ICML 2022: 8056-8071- [i19]Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten:
Bounding Training Data Reconstruction in Private (Deep) Learning. CoRR abs/2201.12383 (2022) - [i18]Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang:
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. CoRR abs/2202.01100 (2022) - 2021
- [j2]Carlos Alberto Gomez-Uribe, Brian Karrer:
The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models. J. Mach. Learn. Res. 22: 5:1-5:25 (2021) - [c10]Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun:
Network Experimentation at Scale. KDD 2021: 3106-3116 - 2020
- [c9]Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett:
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS 2020 - [c8]Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy:
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. NeurIPS 2020 - [i17]Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett:
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. CoRR abs/2006.15779 (2020) - [i16]Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun:
Network experimentation at scale. CoRR abs/2012.08591 (2020)
2010 – 2019
- 2019
- [i15]Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy:
BoTorch: Programmable Bayesian Optimization in PyTorch. CoRR abs/1910.06403 (2019) - 2018
- [i14]Carlos Alberto Gomez-Uribe, Brian Karrer:
The decoupled extended Kalman filter for dynamic exponential-family factorization models. CoRR abs/1806.09976 (2018) - 2017
- [j1]Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Yaroslav Akhremtsev, Alessandro Presta:
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner. Proc. VLDB Endow. 10(11): 1418-1429 (2017) - [i13]Tim Danford, Onur Filiz, Jing Huang, Brian Karrer, Manohar Paluri, Guan Pang, Vish Ponnampalam, Nicolás Stier Moses, Birce Tezel:
End-to-end Planning of Fixed Millimeter-Wave Networks. CoRR abs/1705.07249 (2017) - [i12]Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy:
Constrained Bayesian Optimization with Noisy Experiments. CoRR abs/1706.07094 (2017) - [i11]Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Alessandro Presta, Yaroslav Akhremtsev:
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner. CoRR abs/1707.06665 (2017) - 2016
- [c7]Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita:
Compressing Graphs and Indexes with Recursive Graph Bisection. KDD 2016: 1535-1544 - [c6]Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm:
Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks. NSDI 2016: 455-468 - [i10]Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita:
Compressing Graphs and Indexes with Recursive Graph Bisection. CoRR abs/1602.08820 (2016) - 2014
- [i9]Dean Eckles, Brian Karrer, Johan Ugander:
Design and analysis of experiments in networks: Reducing bias from interference. CoRR abs/1404.7530 (2014) - [i8]Brian Karrer, Mark E. J. Newman, Lenka Zdeborová:
Percolation on sparse networks. CoRR abs/1405.0483 (2014) - 2013
- [c5]Michael S. Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer:
Quantifying the invisible audience in social networks. CHI 2013: 21-30 - [c4]Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg:
Graph cluster randomization: network exposure to multiple universes. KDD 2013: 329-337 - [i7]Travis Martin, Brian Ball, Brian Karrer, M. E. J. Newman:
Coauthorship and citation in scientific publishing. CoRR abs/1304.0473 (2013) - [i6]Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg:
Graph cluster randomization: network exposure to multiple universes. CoRR abs/1305.6979 (2013) - 2011
- [c3]Brendan Meeder, Brian Karrer, Amin Sayedi, R. Ravi, Christian Borgs
, Jennifer T. Chayes:
We know who you followed last summer: inferring social link creation times in twitter. WWW 2011: 517-526 - [i5]Brian Ball, Brian Karrer, M. E. J. Newman:
An efficient and principled method for detecting communities in networks. CoRR abs/1104.3590 (2011) - [i4]Brian Karrer, M. E. J. Newman:
Competing epidemics on complex networks. CoRR abs/1105.3424 (2011) - [i3]Johan Ugander, Brian Karrer, Lars Backstrom, Cameron Marlow:
The Anatomy of the Facebook Social Graph. CoRR abs/1111.4503 (2011) - 2010
- [c2]Christian Borgs, Jennifer T. Chayes, Brian Karrer, Brendan Meeder, R. Ravi, Ray E. Reagans, Amin Sayedi:
Game-Theoretic Models of Information Overload in Social Networks. WAW 2010: 146-161 - [i2]Brian Karrer, M. E. J. Newman:
Random graphs containing arbitrary distributions of subgraphs. CoRR abs/1005.1659 (2010) - [i1]Brian Karrer, M. E. J. Newman:
Stochastic blockmodels and community structure in networks. CoRR abs/1008.3926 (2010)
2000 – 2009
- 2009
- [c1]Eytan Bakshy, Brian Karrer, Lada A. Adamic:
Social influence and the diffusion of user-created content. EC 2009: 325-334
Coauthor Index
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last updated on 2022-08-25 05:27 CEST by the dblp team
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