Arun Verma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Prompting the Unknown: Understanding Response Uncertainty in Large Language Models. | Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low |
| 2026 | COMSNETS | Stochastic Multi-Armed Bandits with Limited Control Variates. | Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar |
| 2025 | ACL | TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding. | Zhaoxuan Wu, Zijian Zhou, Arun Verma, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low |
| 2025 | EMNLP | Uncovering Scaling Laws for Large Language Models via Inverse Problems. | Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ICLR | Neural Dueling Bandits: Preference-Based Optimization with Human Feedback. | Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low |
| 2024 | EMNLP | Position Paper: Data-Centric AI in the Age of Large Language Models. | 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 |
| 2023 | AISTATS | FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | ICLR | Federated Neural Bandits. | Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2023 | ICLR | Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation. | Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2023 | ICLR | Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation. | Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low |
| 2022 | ICML | Bayesian Optimization under Stochastic Delayed Feedback. | Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low |
| 2020 | ACML | Thompson Sampling for Unsupervised Sequential Selection. | Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra |
| 2020 | COMSNETS | Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. | Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra |
| 2020 | INFOCOM | Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach. | Arun Verma, Manjesh Kumar Hanawal |
| 2019 | AISTATS | Online Algorithm for Unsupervised Sensor Selection. | Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvri, Venkatesh Saligrama |
| 2019 | FlAIRS | 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 |
| 2019 | WiOpt | Distributed Algorithms for Efficient Learning and Coordination in Ad Hoc Networks. | Arun Verma, Manjesh Kumar Hanawal, Rahul Vaze |
| 2018 | COMAD | Unsupervised cost sensitive predictions with side information. | Arun Verma, Manjesh Kumar Hanawal |