Apoorva Sharma
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (6)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(19)
Conferences
CORL (2)
NIPS (2)
ICLR (1)
RSS (1)
UAI (1)
Top co-authors
Research topics
Keywords
model compression
(1)
deep reinforcement learning
(1)
continual learning
(1)
online learning
(1)
conformal prediction
(1)
robot perception
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
sequential decision making
(1)
trajectory prediction
(1)
pac-bayes theory
(1)
fisher information matrix
(1)
matrix sketching
(1)
generalization bound
(1)
out-of-distribution detection
(1)
autonomous vehicle
(1)
uncertainty estimation
(1)
edge computing
(1)
coverage guarantee
(1)
set-valued prediction
(1)
Papers
Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
CORL 2025
STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
ICLR 2025
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
CORL 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
NIPS 2023
Sketching curvature for efficient out-of-distribution detection for deep neural networks
UAI 2021
Continuous Meta-Learning without Tasks
NIPS 2020
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019