Guang Zhao
6 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6)
🐝
Cross-Pollinator
(6)
Conferences
AISTATS (2)
ICLR (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
bayesian inference
(1)
uncertainty quantification
(1)
gaussian process
(1)
activity recognition
(1)
bayesian active learning
(1)
gaussian process classification
(1)
label efficiency
(1)
acquisition function
(1)
wearable sensor
(1)
query synthesis
(1)
bayesian classifier
(1)
mean objective cost of uncertainty
(1)
expected loss reduction
(1)
adaptive monitoring
(1)
pool-based active learning
(1)
error reduction
(1)
activity monitoring
(1)
soft mofu
(1)
Papers
Pareto Prompt Optimization
ICLR 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
ICML 2025
Efficient Active Learning for Gaussian Process Classification by Error Reduction
NIPS 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
AISTATS 2021
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
ICLR 2021
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
AISTATS 2019