7 citations · 16 across the 10 of their papers we have counts for
11 papers
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference
Vyacheslav Kungurtsev, Apaar, Aarya Khandelwal +3
In this work, we demonstrate the Empirical Bayes approach to learning a Dynamic Bayesian Network. By starting with several point estimates of structure and weights, we can use a da…
Learned Lock-free Search Data Structures
Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma +2
Non-blocking search data structures offer scalability with a progress guarantee on high-performance multi-core architectures. In the recent past, "learned queries" have gained rema…
Wait-Free Updates and Range Search using Uruv
Gaurav Bhardwaj, Abhay Jain, Bapi Chatterjee +1
CRUD operations, along with range queries make a highly useful abstract data type (ADT), employed by many dynamic analytics tasks. Despite its wide applications, to our knowledge,…
Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD
Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh
Powered by the simplicity of lock-free asynchrony, Hogwilld! is a go-to approach to parallelize SGD over a shared-memory setting. Despite its popularity and concomitant extensions,…
Stochastic Gradient Langevin with Delayed Gradients
Vyacheslav Kungurtsev, Bapi Chatterjee, Dan Alistarh
Stochastic Gradient Langevin Dynamics (SGLD) ensures strong guarantees with regards to convergence in measure for sampling log-concave posterior distributions by adding noise to st…
Dynamic Graph Operations: A Consistent Non-blocking Approach
Bapi Chatterjee, Sathya Peri, Muktikanta Sa
Graph algorithms enormously contribute to the domains such as blockchains, social networks, biological networks, telecommunication networks, and several others. The ever-increasing…