Risk- and recoverability-aware online replanning in partially observed, dynamically changing environments.
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Updated
Oct 17, 2026 - Python
Risk- and recoverability-aware online replanning in partially observed, dynamically changing environments.
Fast video image segmentation using warm-start graph cuts. Reuses previous max-flow solutions to reduce computation and improve performance on image sequences.
[NeurIPS'26] Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
LAFC-Evict: counterfactual supervision dataset and benchmark for learned cache eviction
Experiments for 'Bandits with Untrusted Change-Time Forecasts'
Online conformal prediction with untrusted shift forecasts: reproducibility code
Learning-augmented cache eviction research: decision-aligned eviction-value prediction, evaluated against classical and learned baselines. Companion code for a Knowledge-Based Systems manuscript (second-round revision).
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