Counting Independent Sets Using the Bethe Approximation

Distributed Random Access Algorithm: Scheduling and Congestion Control (arXiv)

Distributed Averaging Via Lifted Markov Chains (arXiv)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling

Information Source Finding in Networks: Querying With Budgets

Gauging Variational Inference

Bucket Renormalization for Approximate Inference

Simulation-Based Distributed Coordination Maximization Over Networks

Optimal Inference in Crowdsourced Classification via Belief Propagation