Vikas K. Garg

According to our database1, Vikas K. Garg authored at least 32 papers between 2009 and 2019.

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Bibliography

2019
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure.
CoRR, 2019

Strategic Prediction with Latent Aggregative Games.
CoRR, 2019

Solving graph compression via optimal transport.
CoRR, 2019

Generative Models for Graph-Based Protein Design.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
Peek Search: Near-Optimal Online Markov Decoding.
CoRR, 2018

Learning SMaLL Predictors.
CoRR, 2018

Sparse Multi-Prototype Classification.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

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

2017
Supervising Unsupervised Learning.
CoRR, 2017

Local Aggregative Games.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Meta-Unsupervised-Learning: A supervised approach to unsupervised learning.
CoRR, 2016

Learning Tree Structured Potential Games.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

CRAFT: ClusteR-specific Assorted Feature selecTion.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets.
CoRR, 2015

CRAFT: ClusteR-specific Assorted Feature selecTion.
CoRR, 2015

DEEP-CARVING: Discovering visual attributes by carving deep neural nets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multiresolution Matrix Factorization.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory.
IEEE Trans. Knowl. Data Eng., 2013

Adaptivity to Local Smoothness and Dimension in Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Link Label Prediction in Signed Social Networks.
Proceedings of the IJCAI 2013, 2013

Multi-regularization for Fuzzy Co-clustering.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Prediction based storage management in the smart grid.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Online optimization for the smart (micro) grid.
Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012

2011
High throughput data redundancy removal algorithm with scalable performance.
Proceedings of the High Performance Embedded Architectures and Compilers, 2011

2010
EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Toward Optimal Disk Layout of Genome Scale Suffix Trees.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Highly scalable parallel collaborative filtering algorithm.
Proceedings of the 2010 International Conference on High Performance Computing, 2010

Real-time memory efficient data redundancy removal algorithm.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.
IJDMMM, 2009

RACK: RApid clustering using K-means algorithm.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2009


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