Rajesh Ranganath

22

Papers

463

Total Citations

Papers (22)

Hierarchical Implicit Models and Likelihood-Free Variational Inference

NeurIPS 2017arXiv

Operator Variational Inference

NeurIPS 2016arXiv

A General Framework for Inference-time Scaling and Steering of Diffusion Models

The Population Posterior and Bayesian Modeling on Streams

Variational Inference via $\chi$ Upper Bound Minimization

What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions

Stochastic Interpolants with Data-Dependent Couplings

Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Automatic Variational Inference in Stan

Noisin: Unbiased Regularization for Recurrent Neural Networks

The Variational Predictive Natural Gradient

Predicate Exchange: Inference with Declarative Knowledge

Energy-Inspired Models: Learning with Sampler-Induced Distributions

Deep Direct Likelihood Knockoffs

Causal Estimation with Functional Confounders

General Control Functions for Causal Effect Estimation from IVs

X-CAL: Explicit Calibration for Survival Analysis

Inverse-Weighted Survival Games

Offline RL Without Off-Policy Evaluation

Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy

Hierarchical Variational Models