← Authors

Janardhan Rao Doppa

30 papers · 2011–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🀝 Dynamic Duo (12) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (135) πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (7)

Conferences

AAAI (11) IJCAI (7) ACML (3) NIPS (3) AISTATS (2) CVPR (1) EMNLP (1) ICML (1) JMLR (1)

Top co-authors

Aryan Deshwal (12) Syrine Belakaria (11) Taha Belkhouja (5) Prasad Tadepalli (4) Chao Ma (4) Dina Hussein (3) Ganapati Bhat (3) Xiaoli Fern (3) Yan Yan (3) Dan Roth (2)

Research topics

Core Methods (1)

Keywords

bayesian optimization (11) uncertainty quantification (6) multi-objective optimization (5) surrogate model (5) structured prediction (4) gaussian process (4) combinatorial optimization (4) pareto front (3) conformal prediction (3) hyperparameter optimization (3) prediction set (2) energy harvesting (2) black-box optimization (2) entropy search (2) acquisition function (2) time-series classification (2) discrete optimization (2) deep neural network (2) black-box function (2) pareto optimization (2)

Papers

Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management IJCAI 2025
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration NIPS 2024
Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach IJCAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach AISTATS 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health AAAI 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022
Bayesian Optimization over Permutation Spaces AAAI 2022
Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021
Bayesian Optimization over Hybrid Spaces ICML 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
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms ACML 2017
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search ACML 2017
HC-Search for Structured Prediction in Computer Vision CVPR 2015
Prune-and-Score: Learning for Greedy Coreference Resolution EMNLP 2014
Structured Prediction via Output Space Search JMLR 2014
Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011