Jose A. Lozano
8 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
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(20)
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(3)
Learning Types
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Learning Paradigms
(1)
Keywords
task evolution
(2)
continual learning
(2)
multi-task learning
(1)
bayesian inference
(1)
graph learning
(1)
uncertainty quantification
(1)
knowledge transfer
(1)
supervised learning
(1)
incremental learning
(1)
deep learning
(1)
continual reinforcement learning
(1)
probability distribution
(1)
integer linear programming
(1)
confusion matrix
(1)
minimax risk
(1)
adversarial attack
(1)
graphical model
(1)
approximation algorithm
(1)
probabilistic graphical model
(1)
fairness metric
(1)
Papers
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
AAAI 2026
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
ICML 2025
Supervised Learning with Evolving Tasks and Performance Guarantees
JMLR 2025
Self-Composing Policies for Scalable Continual Reinforcement Learning
ICML 2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results
AISTATS 2024
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
JMLR 2023
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
NeurIPS 2023
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models
PGM 2018