Avleen Singh Bijral

According to our database, Avleen Singh Bijral authored at least 13 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

On a Bernoulli Autoregression Framework for Link Discovery and Prediction.

Xiaohan Yan, Avleen S. Bijral

CoRR, 2020

2019

On Selecting Stable Predictors in Time Series Models.

Avleen Singh Bijral

CoRR, 2019

On Dynamic Network Models and Application to Causal Impact.

Yu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

NonSTOP: A NonSTationary Online Prediction Method for Time Series.

Christopher Xie, Avleen Bijral, Juan Lavista Ferres

IEEE Signal Process. Lett., 2018

2017

Data-Dependent Convergence for Consensus Stochastic Optimization.

Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro

IEEE Trans. Autom. Control., 2017

2016

An Online Prediction Framework for Non-Stationary Time Series.

Christopher Xie, Avleen Bijral, Juan Lavista Ferres

CoRR, 2016

Data-dependent bounds on network gradient descent.

Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2013

Mini-Batch Primal and Dual Methods for SVMs.

Martin Takác, Avleen Singh Bijral, Peter Richtárik, Nati Srebro

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Semi-supervised Learning with Density Based Distances.

Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro

Proceedings of the UAI 2011, 2011

2009

Traversable path identification in unstructured terrains: A Markov random walk approach.

Adam R. Bates, Avleen Singh Bijral, Jane Mulligan, Gregory Z. Grudic

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Semi-supervised Learning of a Markovian Metric.

Avleen Singh Bijral, Manuel E. Lladser, Gregory Z. Grudic

Proceedings of the SIAM International Conference on Data Mining, 2008

2007

Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings.

Avleen Singh Bijral, Markus Breitenbach, Gregory Z. Grudic

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2005

Mining Interesting Temporal Patterns: An Information Theoretic Approach.

Avleen Singh Bijral, Girish K. Palshikar

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005