Skip to content
conftrace_

Aryan Deshwal

20 papers · 2019–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🀝 Dynamic Duo (12) πŸ‘₯ Mega-Team Β· Squad πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (82) πŸ“ˆ Trend Setter

Venues

AAAI (10) IJCAI (3) NeurIPS (3) ICML (2) AISTATS (1) EMNLP (1)

Top co-authors

Janardhan Rao Doppa (12) Syrine Belakaria (7) Jana Doppa (5) Yassine Chemingui (3) Azza Fadhel (3) Trong Nghia Hoang (3) Alan Fern (2) Dan Roth (2) Minh Hoang (2) Kirti Rajagopalan (1)

Research topics

Machine Learning (18) Optimization & Theory (13) Mathematics & Optimization (10) Optimization (10) Artificial Intelligence (8) Bayesian & Probabilistic Β· Machine Learning (7) Learning Types (7) Core AI (5) Reinforcement Learning (3) Bayesian & Probabilistic Β· Artificial Intelligence (3) Methods (3) Core Methods (2) Learning Paradigms (2) Data Science & Analytics (1) Deep Learning (1)

Keywords

bayesian optimization (11) surrogate model (6) combinatorial optimization (5) black-box optimization (4) multi-objective optimization (4) gaussian process (4) uncertainty quantification (3) structured prediction (2) diffusion kernel (2) kernel methods (2) hyperparameter optimization (2) offline reinforcement learning (2) adaptive experimental design (2) entropy search (2) pareto front (2) in-context learning (1) weakly supervised learning (1) embedding learning (1) model calibration (1) policy optimization (1)

Papers

Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026 Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML 2024 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 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization over Hybrid Spaces ICML 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NeurIPS 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 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 Learning and Inference for Structured Prediction: A Unifying Perspective IJCAI 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 2019