Mark Kozdoba

Orcid: 0000-0002-8451-023X

According to our database1, Mark Kozdoba authored at least 17 papers between 2014 and 2023.

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Bibliography

2023
Implicitly Normalized Explicitly Regularized Density Estimation.
CoRR, 2023

Learning Hidden Markov Models When the Locations of Missing Observations are Unknown.
Proceedings of the International Conference on Machine Learning, 2023

2022
Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown.
CoRR, 2022

Finite Sample Analysis Of Dynamic Regression Parameter Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Dimension Free Generalization Bounds for Non Linear Metric Learning.
CoRR, 2021

2020
Topic Modeling via Full Dependence Mixtures.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Variance Estimation For Online Regression via Spectrum Thresholding.
CoRR, 2019

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Source Estimation in Time Series and the Surprising Resilience of HMMs.
IEEE Trans. Inf. Theory, 2018

Multi Instance Learning For Unbalanced Data.
CoRR, 2018

Interdependent Gibbs Samplers.
CoRR, 2018

2016
Clustering Time Series and the Surprising Robustness of HMMs.
CoRR, 2016

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients.
CoRR, 2016

2015
Overlapping Community Detection by Online Cluster Aggregation.
CoRR, 2015

Overlapping Communities Detection via Measure Space Embedding.
CoRR, 2015

Community Detection via Measure Space Embedding.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
On projections of metric spaces.
J. Comput. Geom., 2014


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