Sharad Vikram
8 papers · 2016–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Models
(4)
Optimization & Theory
(3)
Natural Language Processing
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Applications · Reinforcement Learning
(1)
Generation
(1)
Keywords
variational inference
(2)
hierarchical clustering
(2)
posterior distribution
(2)
markov chain monte carlo
(2)
chain-of-thought reasoning
(1)
text generation
(1)
bayesian nonparametrics
(1)
posterior sampling
(1)
natural language processing
(1)
mixture distribution
(1)
bayesian model
(1)
hamiltonian monte carlo
(1)
model-based reinforcement learning
(1)
linear quadratic regulator
(1)
probabilistic programming
(1)
expectation maximization
(1)
representation learning
(1)
stochastic variational inference
(1)
generative model
(1)
bayesian clustering
(1)
Papers
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 2023
Automatic Differentiation Variational Inference with Mixtures
AISTATS 2021
Automatic structured variational inference
AISTATS 2021
What Are Bayesian Neural Network Posteriors Really Like?
ICML 2021
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
ICML 2019
The LORACs Prior for VAEs: Letting the Trees Speak for the Data
AISTATS 2019
Estimating Reactions and Recommending Products with Generative Models of Reviews
IJCNLP 2017
Interactive Bayesian Hierarchical Clustering
ICML 2016