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2020 – today
- 2021
[c4]Donald Q. Adams, Adarsh Barik, Jean Honorio:
Information-Theoretic Bounds for Integral Estimation. ISIT 2021: 742-747- [c3]Adarsh Barik, Jean Honorio:
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. NeurIPS 2021: 23245-23257 - [i10]Wenjie Li, Adarsh Barik, Jean Honorio:
A Simple Unified Framework for High Dimensional Bandit Problems. CoRR abs/2102.09626 (2021) - [i9]Adarsh Barik, Jean Honorio:
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. CoRR abs/2102.09704 (2021) - [i8]Donald Q. Adams, Adarsh Barik, Jean Honorio:
Information-Theoretic Bounds for Integral Estimation. CoRR abs/2102.10199 (2021) - 2020
- [i7]Adarsh Barik, Jean Honorio:
Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities. CoRR abs/2004.01022 (2020) - [i6]Adarsh Barik, Jean Honorio:
Exact Support Recovery in Federated Regression with One-shot Communication. CoRR abs/2006.12583 (2020)
2010 – 2019
- 2019
- [c2]Adarsh Barik, Jean Honorio:
Learning Bayesian Networks with Low Rank Conditional Probability Tables. NeurIPS 2019: 8962-8971 - [i5]Adarsh Barik, Jean Honorio:
Learning Bayesian Networks with Low Rank Conditional Probability Tables. CoRR abs/1905.12552 (2019) - [i4]Adarsh Barik, Jean Honorio:
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. CoRR abs/1911.04225 (2019) - 2018
- [i3]Adarsh Barik, Jean Honorio:
Learning Binary Bayesian Networks in Polynomial Time and Sample Complexity. CoRR abs/1803.04087 (2018) - [i2]Adarsh Barik, Jean Honorio:
Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. CoRR abs/1811.06635 (2018) - 2017
- [c1]Adarsh Barik, Jean Honorio, Mohit Tawarmalani:
Information theoretic limits for linear prediction with graph-structured sparsity. ISIT 2017: 2348-2352 - [i1]Adarsh Barik, Jean Honorio, Mohit Tawarmalani:
Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity. CoRR abs/1701.07895 (2017)
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