Jana Doppa
10 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types
(4)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Methods
(2)
Optimization
(2)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Keywords
conformal prediction
(4)
surrogate model
(3)
bayesian optimization
(2)
adversarial robustness
(1)
policy optimization
(1)
black-box optimization
(1)
uncertainty quantification
(1)
probabilistic inference
(1)
deep classifier
(1)
model merging
(1)
adaptive experimental design
(1)
constraint satisfaction
(1)
parameter optimization
(1)
bayesian inference
(1)
offline reinforcement learning
(1)
bilevel optimization
(1)
safe reinforcement learning
(1)
heavy-tailed distribution
(1)
multi-task learning
(1)
combinatorial optimization
(1)
Papers
Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support
AAAI 2026
Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design
AAAI 2026
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
UAI 2026
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
AAAI 2026
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
UAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
AAAI 2025
Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
ICML 2025
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
Probabilistically robust conformal prediction
UAI 2023
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
NeurIPS 2021