Doppa, Janardhan Rao

41 publications

IJCAI 2025 Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management Dina Hussein, Chibuike E. Ugwu, Ganapati Bhat, Janardhan Rao Doppa

NeurIPS 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy

NeurIPS 2024 Conformal Prediction for Class-Wise Coverage via Augmented Label Rank Calibration Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan

JAIR 2024 Effectiveness of Tree-Based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

IJCAI 2024 Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-Aware Statistical Approach Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa

AAAI 2024 Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa

AAAI 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

AAAI 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

IJCAI 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa

IJCAI 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) Taha Belkhouja, Janardhan Rao Doppa

AISTATS 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-Based Embeddings Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson

AISTATS 2023 Bayesian Optimization over Iterative Learners with Structured Responses: A Budget-Aware Planning Approach Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi, Rishit Sheth

AAAI 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

AAAI 2022 Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa

JAIR 2022 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja, Janardhan Rao Doppa

AAAI 2022 Bayesian Optimization over Permutation Spaces Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

AAAI 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

IJCAI 2021 Adaptive Experimental Design for Optimizing Combinatorial Structures Janardhan Rao Doppa

ICML 2021 Bayesian Optimization over Hybrid Spaces Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

AAAI 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

JAIR 2021 Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

AAAI 2020 Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

AAAI 2020 Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern

AAAI 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

IJCAI 2019 Learning and Inference for Structured Prediction: A Unifying Perspective Aryan Deshwal, Janardhan Rao Doppa, Dan Roth

NeurIPS 2019 Max-Value Entropy Search for Multi-Objective Bayesian Optimization Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

IJCAI 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth

AAAI 2018 Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization Ellis Hoag, Janardhan Rao Doppa

ACML 2017 Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Fern

ACML 2017 Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa

CVPR 2015 HC-Search for Structured Prediction in Computer Vision Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich

AAAI 2015 Learning Greedy Policies for the Easy-First Framework Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli

AAAI 2014 HC-Search for Multi-Label Prediction: An Empirical Study Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli

JAIR 2014 HC-Search: A Learning Framework for Search-Based Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

AAAI 2014 Learning Scripts as Hidden Markov Models John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich

JMLR 2014 Structured Prediction via Output Space Search Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

AAAI 2013 HC-Search: Learning Heuristics and Cost Functions for Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

ICCVW 2013 Learning to Detect Basal Tubules of Nematocysts in SEM Images Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly

ICML 2012 Output Space Search for Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

ACML 2011 Learning Rules from Incomplete Examples via Implicit Mention Models Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani, Jed Irvine, Walker Orr, Thomas G. Dietterich, Xiaoli Fern, Prasad Tadepalli

ECML-PKDD 2010 Learning Algorithms for Link Prediction Based on Chance Constraints Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor