Sharad Vikram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2013–2021
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | AISTATS | Automatic structured variational inference. | Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven |
| 2021 | ICML | What Are Bayesian Neural Network Posteriors Really Like? | Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson |
| 2019 | AISTATS | The LORACs Prior for VAEs: Letting the Trees Speak for the Data. | Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson |
| 2019 | ICML | SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. | Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine |
| 2017 | IJCNLP | Estimating Reactions and Recommending Products with Generative Models of Reviews. | Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley |
| 2016 | ICML | Interactive Bayesian Hierarchical Clustering. | Sharad Vikram, Sanjoy Dasgupta |
| 2013 | CHI | Writing and sketching in the air, recognizing and controlling on the fly. | Sharad Vikram, Lei Li, Stuart Russell |