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Avleen Singh Bijral
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2020 – today
- 2020
- [i5]Xiaohan Yan, Avleen S. Bijral:
On a Bernoulli Autoregression Framework for Link Discovery and Prediction. CoRR abs/2007.11811 (2020)
2010 – 2019
- 2019
- [c8]Yu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres:
On Dynamic Network Models and Application to Causal Impact. KDD 2019: 1194-1204 - [i4]Avleen Singh Bijral:
On Selecting Stable Predictors in Time Series Models. CoRR abs/1905.07659 (2019) - 2018
- [j2]Christopher Xie, Avleen Bijral, Juan Lavista Ferres:
NonSTOP: A NonSTationary Online Prediction Method for Time Series. IEEE Signal Process. Lett. 25(10): 1545-1549 (2018) - 2017
- [j1]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-Dependent Convergence for Consensus Stochastic Optimization. IEEE Trans. Autom. Control. 62(9): 4483-4498 (2017) - 2016
- [c7]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-dependent bounds on network gradient descent. Allerton 2016: 869-874 - [i3]Christopher Xie, Avleen Bijral, Juan Lavista Ferres:
An Online Prediction Framework for Non-Stationary Time Series. CoRR abs/1611.02365 (2016) - 2013
- [c6]Martin Takác, Avleen Singh Bijral, Peter Richtárik, Nati Srebro:
Mini-Batch Primal and Dual Methods for SVMs. ICML (3) 2013: 1022-1030 - [i2]Martin Takác, Avleen Singh Bijral, Peter Richtárik, Nathan Srebro:
Mini-Batch Primal and Dual Methods for SVMs. CoRR abs/1303.2314 (2013) - 2012
- [i1]Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro:
Semi-supervised Learning with Density Based Distances. CoRR abs/1202.3702 (2012) - 2011
- [c5]Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro:
Semi-supervised Learning with Density Based Distances. UAI 2011: 43-50
2000 – 2009
- 2009
- [c4]Adam R. Bates, Avleen Singh Bijral, Jane Mulligan, Gregory Z. Grudic:
Traversable path identification in unstructured terrains: A Markov random walk approach. ICRA 2009: 3423-3430 - 2008
- [c3]Avleen Singh Bijral, Manuel E. Lladser, Gregory Z. Grudic:
Semi-supervised Learning of a Markovian Metric. SDM 2008: 466-471 - 2007
- [c2]Avleen Singh Bijral, Markus Breitenbach, Gregory Z. Grudic:
Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings. AISTATS 2007: 35-42 - 2005
- [c1]Avleen Singh Bijral, Girish K. Palshikar:
Mining Interesting Temporal Patterns: An Information Theoretic Approach. IICAI 2005: 1377-1389
Coauthor Index
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