Vikram, Sharad

7 publications

NeurIPS 2023 Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew Douglas Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles A. Sutton, Sharad Vikram, Rif A. Saurous

AISTATS 2021 Automatic Differentiation Variational Inference with Mixtures Warren Morningstar, Sharad Vikram, Cusuh Ham, Andrew Gallagher, Joshua Dillon

AISTATS 2021 Automatic Structured Variational Inference Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel Gerven

ICML 2021 What Are Bayesian Neural Network Posteriors Really like? Pavel Izmailov, Sharad Vikram, Matthew D Hoffman, Andrew Gordon Gordon Wilson

ICML 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine

AISTATS 2019 The LORACs Prior for VAEs: Letting the Trees Speak for the Data Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson

ICML 2016 Interactive Bayesian Hierarchical Clustering Sharad Vikram, Sanjoy Dasgupta