# Alex Kulesza

According to our database

Collaborative distances:

^{1}, Alex Kulesza authored at least 40 papers between 2004 and 2019.Collaborative distances:

## Timeline

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#### On csauthors.net:

## Bibliography

2019

Differentially Private Covariance Estimation.

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.

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

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

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

2018

Completing State Representations using Spectral Learning.

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.

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.

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

Improving Predictive State Representations via Gradient Descent.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Information Extraction from Larger Multi-layer Social Networks.

CoRR, 2015

Socio-Spatial Pareto Frontiers of Twitter Networks.

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

Abstraction Selection in Model-based Reinforcement Learning.

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

Information extraction from large multi-layer social networks.

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Low-Rank Spectral Learning with Weighted Loss Functions.

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

Spectral Learning of Predictive State Representations with Insufficient Statistics.

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

2014

Multi-Layer Graph Analysis for Dynamic Social Networks.

J. Sel. Topics Signal Processing, 2014

Social Collaborative Retrieval.

J. Sel. Topics Signal Processing, 2014

Diversifying Sparsity Using Variational Determinantal Point Processes.

CoRR, 2014

Multi-objective Optimization for Multi-level Networks.

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

Expectation-Maximization for Learning Determinantal Point Processes.

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.

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

Low-Rank Spectral Learning.

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

2013

Adaptive regularization of weight vectors.

Mach. Learn., 2013

Multi-layer graph analytics for dynamic social networks.

CoRR, 2013

Multi-layer graph analytics for social networks.

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

Nystrom Approximation for Large-Scale Determinantal Processes.

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

2012

Determinantal Point Processes for Machine Learning.

Found. Trends Mach. Learn., 2012

Markov Determinantal Point Processes.

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

Near-Optimal MAP Inference for Determinantal Point Processes.

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

^{∞}bounds for the recursive least squares algorithm exploiting input structure.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Discovering Diverse and Salient Threads in Document Collections.

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

2011

Learning Determinantal Point Processes.

Proceedings of the UAI 2011, 2011

k-DPPs: Fixed-Size Determinantal Point Processes.

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

2010

Multi-domain learning by confidence-weighted parameter combination.

Mach. Learn., 2010

A theory of learning from different domains.

Mach. Learn., 2010

Exploiting Feature Covariance in High-Dimensional Online Learning.

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

Structured Determinantal Point Processes.

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.

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

2007

Empirical Price Modeling for Sponsored Search.

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

Structured Learning with Approximate Inference.

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

Learning Bounds for Domain Adaptation.

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

2004

Confidence Estimation for Machine Translation.

Proceedings of the COLING 2004, 2004