probabilistic inference
A way of deducing the properties of a distribution using probabilistic models, facilitating reasoning under uncertainty in AI systems by providing a method to update beliefs based on observed evidence.
- Adversary Aware Optimization for Robust Defense
- Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
- Inference with correlated priors using sisters cells
- Large Language Diffusion Models
- Large Language Diffusion Models
- Resolution of Simpson's paradox via the common cause principle
- Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
- Sequential Monte Carlo for Policy Optimization in Continuous POMDPs
- VERA: Variational Inference Framework for Jailbreaking Large Language Models