Arun Verma

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 39

Top Topics

Sequential Decision Problems

Utility Maximization

Reinforcement Learning

Top Venues

Publications

Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Prompt Optimization with Human Feedback. CoRR (2024)
Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low
Data-Centric AI in the Age of Large Language Models. CoRR (2024)
Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low
Neural Dueling Bandits. CoRR (2024)
Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models. CoRR (2024)
Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. CoRR (2023)
Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. ICLR (2023)
Arun Verma, Zhongxiang Dai, Yao Shu, Bryan Kian Hsiang Low
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits. NeurIPS (2023)
Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. AISTATS (2023)
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Quantum Bayesian Optimization. CoRR (2023)
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
Quantum Bayesian Optimization. NeurIPS (2023)
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
Federated Neural Bandits. ICLR (2023)
Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation. ICLR (2023)
Arun Verma
Sequential Decision Problems with Weak Feedback. CoRR (2022)
Srijith Balakrishnan, Beatrice Cassottana, Arun Verma
Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction Models. CoRR (2022)
Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
Bayesian Optimization under Stochastic Delayed Feedback. CoRR (2022)
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
Federated Neural Bandit. CoRR (2022)
Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
Bayesian Optimization under Stochastic Delayed Feedback. ICML (2022)
Arun Verma
Synopsis: Sequential Decision Problems with Weak Feedback. CoRR (2022)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Multi-Armed Bandits with Control Variates. NeurIPS (2021)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits for Resource Allocation. CoRR (2021)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Multi-Armed Bandits with Control Variates. CoRR (2021)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. COMSNETS (2020)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach. INFOCOM (2020)
Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Thompson Sampling for Unsupervised Sequential Selection. ACML (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. NeurIPS (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Thompson Sampling for Unsupervised Sequential Selection. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. CoRR (2020)
Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach. SPCOM (2020)
Arun Verma, Manjesh Kumar Hanawal, Rahul Vaze
Distributed Algorithms for Efficient Learning and Coordination in Ad Hoc Networks. WiOpt (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. NeurIPS (2019)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Conference (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. CoRR (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. CoRR (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. AISTATS (2019)
Arun Verma, Manjesh Kumar Hanawal
Unsupervised cost sensitive predictions with side information. COMAD/CODS (2018)
Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR (2018)
Yogesh Simmhan, Anshu Shukla, Arun Verma
Benchmarking Fast Data Platforms for the Aadhaar Biometric Database. CoRR (2015)
Yogesh L. Simmhan, Anshu Shukla, Arun Verma
Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database. WBDB (2015)
Thomas F. Coleman, Arun Verma
A Preconditioned Conjugate Gradient Approach to Linear Equality Constrained Minimization. Comput. Optim. Appl. 20 (1) (2001)
Jeff Borggaard, Arun Verma
On Efficient Solutions to the Continuous Sensitivity Equation Using Automatic Differentiation. SIAM J. Sci. Comput. 22 (1) (2000)
Thomas F. Coleman, Arun Verma
ADMIT-1: automatic differentiation and MATLAB interface toolbox. ACM Trans. Math. Softw. 26 (1) (2000)
Thomas F. Coleman, Arun Verma
The Efficient Computation of Sparse Jacobian Matrices Using Automatic Differentiation. SIAM J. Sci. Comput. 19 (4) (1998)