Aryan Deshwal
20 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
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Conferences
AAAI (10)
IJCAI (3)
NIPS (3)
ICML (2)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
bayesian optimization
(11)
surrogate model
(5)
combinatorial optimization
(5)
gaussian process
(4)
multi-objective optimization
(4)
uncertainty quantification
(3)
black-box optimization
(2)
diffusion kernel
(2)
kernel methods
(2)
hyperparameter optimization
(2)
offline reinforcement learning
(2)
adaptive experimental design
(2)
entropy search
(2)
structured prediction
(2)
pareto front
(2)
in-context learning
(1)
weakly supervised learning
(1)
embedding learning
(1)
model calibration
(1)
policy optimization
(1)
Papers
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
AAAI 2026
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design
AAAI 2026
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design
AAAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
AAAI 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
EMNLP 2025
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
IJCAI 2024
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
AISTATS 2023
Bayesian Optimization over Permutation Spaces
AAAI 2022
Mercer Features for Efficient Combinatorial Bayesian Optimization
AAAI 2021
Bayesian Optimization over Hybrid Spaces
ICML 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
NIPS 2021
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
AAAI 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization
NIPS 2019
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning
IJCAI 2019
Learning and Inference for Structured Prediction: A Unifying Perspective
IJCAI 2019