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Alex Kulesza

According to our database¹, Alex Kulesza authored at least 46 papers between 2004 and 2023.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Mean estimation in the add-remove model of differential privacy.

[BibT_eX]

[DOI]

,

Ananda Theertha Suresh

,

CoRR, 2023

Subset-Based Instance Optimality in Private Estimation.

[BibT_eX]

[DOI]

,

,

,

Ananda Theertha Suresh

Proceedings of the International Conference on Machine Learning, 2023

2022

Plume: Differential Privacy at Scale.

[BibT_eX]

[DOI]

,

Jennifer Gillenwater

,

,

,

Sergei Vassilvitskii

CoRR, 2022

2021

Combining Public and Private Data.

[BibT_eX]

[DOI]

Cecilia Ferrando

,

Jennifer Gillenwater

,

CoRR, 2021

Learning with User-Level Privacy.

[BibT_eX]

[DOI]

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,

,

,

,

,

Ananda Theertha Suresh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Quantiles.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Differentially Private Covariance Estimation.

[BibT_eX]

[DOI]

,

,

,

Andres Muñoz Medina

,

Sergei Vassilvitskii

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Sergei Vassilvitskii

Proceedings of the 36th International Conference on Machine Learning, 2019

Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy.

[BibT_eX]

[DOI]

,

,

Andres Muñoz Medina

,

Sergei Vassilvitskii

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Completing State Representations using Spectral Learning.

[BibT_eX]

[DOI]

,

,

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Maximizing Induced Cardinality Under a Determinantal Point Process.

[BibT_eX]

[DOI]

Jennifer A. Gillenwater

,

,

Sergei Vassilvitskii

,

Zelda E. Mariet

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

The Dependence of Effective Planning Horizon on Model Accuracy.

[BibT_eX]

[DOI]

,

,

,

Richard L. Lewis

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Improving Predictive State Representations via Gradient Descent.

[BibT_eX]

[DOI]

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,

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Information Extraction from Larger Multi-layer Social Networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

CoRR, 2015

Socio-Spatial Pareto Frontiers of Twitter Networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Abstraction Selection in Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

,

,

Proceedings of the 32nd International Conference on Machine Learning, 2015

Information extraction from large multi-layer social networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Low-Rank Spectral Learning with Weighted Loss Functions.

[BibT_eX]

[DOI]

,

,

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Spectral Learning of Predictive State Representations with Insufficient Statistics.

[BibT_eX]

[DOI]

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,

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Multi-Layer Graph Analysis for Dynamic Social Networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

IEEE J. Sel. Top. Signal Process., 2014

Social Collaborative Retrieval.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

IEEE J. Sel. Top. Signal Process., 2014

Diversifying Sparsity Using Variational Determinantal Point Processes.

[BibT_eX]

[DOI]

Nematollah Kayhan Batmanghelich

,

,

,

,

,

CoRR, 2014

Multi-objective Optimization for Multi-level Networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

Expectation-Maximization for Learning Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Benjamin Taskar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization.

[BibT_eX]

[DOI]

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,

,

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Low-Rank Spectral Learning.

[BibT_eX]

[DOI]

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,

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Adaptive regularization of weight vectors.

[BibT_eX]

[DOI]

,

,

Mach. Learn., 2013

Multi-layer graph analytics for dynamic social networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

CoRR, 2013

Multi-layer graph analytics for social networks.

[BibT_eX]

[DOI]

,

,

Alfred O. Hero III

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Nystrom Approximation for Large-Scale Determinantal Processes.

[BibT_eX]

[DOI]

Raja Hafiz Affandi

,

,

,

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Determinantal Point Processes for Machine Learning.

[BibT_eX]

[DOI]

,

Found. Trends Mach. Learn., 2012

Markov Determinantal Point Processes.

[BibT_eX]

[DOI]

Raja Hafiz Affandi

,

,

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Near-Optimal MAP Inference for Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

New ℌ<sup>∞</sup> bounds for the recursive least squares algorithm exploiting input structure.

[BibT_eX]

[DOI]

,

,

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Discovering Diverse and Salient Threads in Document Collections.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Learning Determinantal Point Processes.

[BibT_eX]

[DOI]

,

Proceedings of the UAI 2011, 2011

k-DPPs: Fixed-Size Determinantal Point Processes.

[BibT_eX]

[DOI]

,

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Multi-domain learning by confidence-weighted parameter combination.

[BibT_eX]

[DOI]

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,

Mach. Learn., 2010

A theory of learning from different domains.

[BibT_eX]

[DOI]

,

,

,

,

Fernando Pereira

,

Jennifer Wortman Vaughan

Mach. Learn., 2010

Exploiting Feature Covariance in High-Dimensional Online Learning.

[BibT_eX]

[DOI]

,

,

,

,

Lawrence K. Saul

,

Fernando Pereira

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Structured Determinantal Point Processes.

[BibT_eX]

[DOI]

,

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Multi-Class Confidence Weighted Algorithms.

[BibT_eX]

[DOI]

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,

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2007

Empirical Price Modeling for Sponsored Search.

[BibT_eX]

[DOI]

,

,

,

,

,

Michael J. Kearns

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Structured Learning with Approximate Inference.

[BibT_eX]

[DOI]

,

Fernando Pereira

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning Bounds for Domain Adaptation.

[BibT_eX]

[DOI]

,

,

,

Fernando Pereira

,

Jennifer Wortman

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2004

Confidence Estimation for Machine Translation.

[BibT_eX]

[DOI]

,

Erin Fitzgerald

,

George F. Foster

,

Simona Gandrabur

,

,

,

Alberto Sanchís

,

Proceedings of the COLING 2004, 2004

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