Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Ordersby Christian Toth, Christian Knoll, Franz…
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Modelsby…
Cameras as Rays: Pose Estimation via Ray Diffusionby Jason Y. Zhang, Amy Lin, Moneish Kumar,…
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulnessby Jiayi Liu,…
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertaintiesby David J.…
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimationby Jikai Jin, Vasilis SyrgkanisFirst submitted…
OpenTab: Advancing Large Language Models as Open-domain Table Reasonersby Kezhi Kong, Jiani Zhang, Zhengyuan Shen,…
Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacementby Wonseok Jeon, Mukul Gagrani, Raghavv…
Linear Transformers are Versatile In-Context Learnersby Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong GeFirst…
Protect and Extend – Using GANs for Synthetic Data Generation of Time-Series Medical Recordsby Navid…