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Understanding how the KernelDensityEstimator works
Fast Bayesian inference for structured models- [Tim Weiland]
EDEN: Efficient Neural Network Inference Using Approximate DRAM (MICRO'19 Lightning Talk)
[PLDI'26] GradInf: Gradient Estimation as Probabilistic Inference
[PLDI SRC'26] Pync: Function-Level Incremental Execution for Python Scripts
Lecture 5. Inference in DAGs (Continued) and Elimination Algorithm
KDD 2023 - Imputation-based Series Anomaly DetectionConditional Weight-Incremental Diffusion Models
[PLDI SRC'26] Impulse: Momentously Fast, General, and Portable Probabilistic Programming via(…)
Lecture 16: Variational Algorithms for Approximate Bayesian Inference Cont.
SIGCOMM'26: Dynamic Compute and Network Orchestration for Disaggregated RL
LLMs | Efficient LLM Decoding-II | Lec15.2
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Last Updated: August 23, 2026
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![Full [LAFI'26] Incremental Density Computation for Efficient Programmable Inference Update](https://i.ytimg.com/vi/T-P6vjPZuUE/mqdefault.jpg)
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![Fast Bayesian inference for structured models- [Tim Weiland]](https://i.ytimg.com/vi/h_EhNpHREnE/mqdefault.jpg)
![[PLDI'26] GradInf: Gradient Estimation as Probabilistic Inference](https://i.ytimg.com/vi/8KM0u0Hu6bc/mqdefault.jpg)
![[PLDI SRC'26] Pync: Function-Level Incremental Execution for Python Scripts](https://i.ytimg.com/vi/NWk8UCsJ4a0/mqdefault.jpg)
![[PLDI SRC'26] Impulse: Momentously Fast, General, and Portable Probabilistic Programming via(…)](https://i.ytimg.com/vi/f46IXQAu_7Q/mqdefault.jpg)
