Aryan Deshwal

CoRR, October, 2025

Actively Learning to Coordinate in Convex Games via Approximate Correlated Equilibrium.

[BibT_eX]

[DOI]

Zhenlong Fang

Yue Yu

CoRR, September, 2025

Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design.

[BibT_eX]

[DOI]

Mohammed Amine Gharsallaoui

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces.

[BibT_eX]

[DOI]

CoRR, 2024

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach.

[BibT_eX]

[DOI]

Mohammed Amine Gharsallaoui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Offline Model-Based Optimization via Policy-Guided Gradient Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic Power Management in Large Manycore Systems: A Learning-to-Search Framework.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., September, 2023

GAUCHE: A Library for Gaussian Processes in Chemistry.

[BibT_eX]

[DOI]

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

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.

[BibT_eX]

[DOI]

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

2022

High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers.

[BibT_eX]

[DOI]

Krishnendu Chakrabarty

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Bayesian Optimization over Permutation Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.

[BibT_eX]

[DOI]

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

Bayesian Optimization over Hybrid Spaces.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Mercer Features for Efficient Combinatorial Bayesian Optimization.

[BibT_eX]

[DOI]

Nitthilan Kanappan Jayakodi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., 2020

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations.

[BibT_eX]

[DOI]

CoRR, 2020

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints.

[BibT_eX]

[DOI]

CoRR, 2020

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models.

[BibT_eX]

[DOI]

CoRR, 2020

Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints.

[BibT_eX]

[DOI]

CoRR, 2020

Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

Nitthilan Kannappan Jayakodi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems.

[BibT_eX]

[DOI]

Nitthilan Kannappan Jayakodi

Biresh Kumar Joardar

Partha Pratim Pande

ACM Trans. Embed. Comput. Syst., 2019

Max-value Entropy Search for Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

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

Learning and Inference for Structured Prediction: A Unifying Perspective.

[BibT_eX]

[DOI]