Siddharth Gopal

According to our database1, Siddharth Gopal authored at least 12 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.
CoRR, 2024

2016
Adaptive Sampling for SGD by Exploiting Side Information.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification.
ACM Trans. Knowl. Discov. Data, 2015

2014
Transformation-based Probabilistic Clustering with Supervision.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Von Mises-Fisher Clustering Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Recursive regularization for large-scale classification with hierarchical and graphical dependencies.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Distributed training of Large-scale Logistic models.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Multilabel classification with meta-level features in a learning-to-rank framework.
Mach. Learn., 2012

Bayesian models for Large-scale Hierarchical Classification.
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

2011
Statistical Learning for File-Type Identification.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Multilabel classification with meta-level features.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

CiteData: a new multi-faceted dataset for evaluating personalized search performance.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010


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