Sharad Vikram

According to our database1, Sharad Vikram authored at least 12 papers between 2013 and 2023.

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Bibliography

2023
Training Chain-of-Thought via Latent-Variable Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Evaluating Approximate Inference in Bayesian Deep Learning.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

What Are Bayesian Neural Network Posteriors Really Like?
Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic structured variational inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
CoRR, 2019

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

The LORACs Prior for VAEs: Letting the Trees Speak for the Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.
CoRR, 2018

2017
Estimating Reactions and Recommending Products with Generative Models of Reviews.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Interactive Bayesian Hierarchical Clustering.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Capturing Meaning in Product Reviews with Character-Level Generative Text Models.
CoRR, 2015

2013
Writing and sketching in the air, recognizing and controlling on the fly.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013


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