Arun Verma

According to our database, Arun Verma authored at least 27 papers between 1998 and 2023.

Collaborative distances:

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

2023

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits.

Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantum Bayesian Optimization.

Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation.

Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation.

Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Neural Bandits.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery.

Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sequential Decision Problems with Weak Feedback.

Arun Verma

CoRR, 2022

Federated Neural Bandit.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

CoRR, 2022

Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction Models.

Srijith Balakrishnan, Beatrice Cassottana, Arun Verma

CoRR, 2022

Bayesian Optimization under Stochastic Delayed Feedback.

Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low

Proceedings of the International Conference on Machine Learning, 2022

2021

Censored Semi-Bandits for Resource Allocation.

Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran

CoRR, 2021

Stochastic Multi-Armed Bandits with Control Variates.

Arun Verma, Manjesh Kumar Hanawal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach.

Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal

Proceedings of the International Conference on Signal Processing and Communications, 2020

Online Algorithm for Unsupervised Sequential Selection with Contextual Information.

Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach.

Arun Verma, Manjesh Kumar Hanawal

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis.

Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

Thompson Sampling for Unsupervised Sequential Selection.

Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Distributed Algorithms for Efficient Learning and Coordination in Ad Hoc Networks.

Arun Verma, Manjesh Kumar Hanawal, Rahul Vaze

Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback.

Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning.

Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Online Algorithm for Unsupervised Sensor Selection.

Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Unsupervised cost sensitive predictions with side information.

Arun Verma, Manjesh Kumar Hanawal

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2015

Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database.

Yogesh L. Simmhan, Anshu Shukla, Arun Verma

Proceedings of the Big Data Benchmarking, 2015

2001

A Preconditioned Conjugate Gradient Approach to Linear Equality Constrained Minimization.

Thomas F. Coleman, Arun Verma

Comput. Optim. Appl., 2001

2000

ADMIT-1: automatic differentiation and MATLAB interface toolbox.

Thomas F. Coleman, Arun Verma

ACM Trans. Math. Softw., 2000

On Efficient Solutions to the Continuous Sensitivity Equation Using Automatic Differentiation.

Jeff Borggaard, Arun Verma

SIAM J. Sci. Comput., 2000

1998

The Efficient Computation of Sparse Jacobian Matrices Using Automatic Differentiation.

Thomas F. Coleman, Arun Verma

SIAM J. Sci. Comput., 1998