Arun Verma

Indrajit Saha

Makoto Yokoo

CoRR, 2024

Neural Dueling Bandits.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models.

[BibT_eX]

[DOI]

Ze Yu Zhang

Finale Doshi-Velez

CoRR, 2024

Data-Centric AI in the Age of Large Language Models.

[BibT_eX]

[DOI]

Gregory Kang Ruey Lau

Hieu Dao

Lucas Agussurja

Rachael Hwee Ling Sim

CoRR, 2024

Prompt Optimization with Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

Position Paper: Data-Centric AI in the Age of Large Language Models.

[BibT_eX]

[DOI]

Gregory Kang Ruey Lau

Hieu Dao

Lucas Agussurja

Rachael Hwee Ling Sim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits.

[BibT_eX]

[DOI]

Zhongxiang Dai

Yao Shu

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

Quantum Bayesian Optimization.

[BibT_eX]

[DOI]

Zhongxiang Dai

Gregory Kang Ruey Lau

Yao Shu

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

Thanh Lam

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Neural Bandits.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

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

2022

Sequential Decision Problems with Weak Feedback.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Neural Bandit.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Srijith Balakrishnan

Beatrice Cassottana

CoRR, 2022

Bayesian Optimization under Stochastic Delayed Feedback.

[BibT_eX]

[DOI]

Zhongxiang Dai

Proceedings of the International Conference on Machine Learning, 2022

2021

Censored Semi-Bandits for Resource Allocation.

[BibT_eX]

[DOI]

Arun Rajkumar

Raman Sankaran

CoRR, 2021

Stochastic Multi-Armed Bandits with Control Variates.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Debamita Ghosh

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

Online Algorithm for Unsupervised Sequential Selection with Contextual Information.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis.

[BibT_eX]

[DOI]

Nandyala Hemachandra

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

Thompson Sampling for Unsupervised Sequential Selection.

[BibT_eX]

[DOI]

Nandyala Hemachandra

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

2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Online Algorithm for Unsupervised Sensor Selection.

[BibT_eX]

[DOI]

Csaba Szepesvári

Venkatesh Saligrama

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

2018

Unsupervised cost sensitive predictions with side information.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yogesh L. Simmhan

Anshu Shukla

Proceedings of the Big Data Benchmarking, 2015

2001

A Preconditioned Conjugate Gradient Approach to Linear Equality Constrained Minimization.

[BibT_eX]

[DOI]

Thomas F. Coleman

Comput. Optim. Appl., 2001

2000

ADMIT-1: automatic differentiation and MATLAB interface toolbox.

[BibT_eX]

[DOI]

Thomas F. Coleman

ACM Trans. Math. Softw., 2000

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

[BibT_eX]

[DOI]

Jeff Borggaard

SIAM J. Sci. Comput., 2000

1998

The Efficient Computation of Sparse Jacobian Matrices Using Automatic Differentiation.

[BibT_eX]

[DOI]

Thomas F. Coleman