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The goal of Knowledge Compilation is to represent a Boolean expression in a format in which it can answer a range of online-queries in PTIME. The online-query of main interest to us is modelâ€¦ (More)

- Abhay Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu
- NIPS
- 2010

Lifted Inference algorithms for representations that combine first-order logic and graphical models have been the focus of much recent research. All lifted algorithms developed to date are based onâ€¦ (More)

We consider the problem of computing the probability of a Boolean function, which generalizes the model counting problem. Given an OBDD for such a function, its probability can be computed in linearâ€¦ (More)

The physical process of generation of waves by wind is extremely complex, uncertain and not yet fully understood. Despite a variety of deterministic models presented to predict the heights andâ€¦ (More)

- Abhay Jha, Ming Xiong, Krithi Ramamritham
- 2006 27th IEEE International Real-Time Systemsâ€¦
- 2006

A real-time database is composed of real-time objects whose values remain valid only within their validity intervals. Each object in the database models a real world entity. The freshness of theseâ€¦ (More)

Most of the work on query evaluation in probabilistic databases has focused on the simple tuple-independent data model, where tuples are independent random events. Several efficient query evaluationâ€¦ (More)

- Abhay Jha, Dan Olteanu, Dan Suciu
- EDBT
- 2010

There are two broad approaches to query evaluation over probabilistic databases: (1) Intensional Methods proceed by manipulating expressions over symbolic events associated with uncertain tuples.â€¦ (More)

- Wolfgang Gatterbauer, Abhay Jha, Dan Suciu
- MUD
- 2010

Probabilistic inference over large data sets is an increasingly important data management challenge. The central problem is that exact inference is generally #Phard, which limits the size of dataâ€¦ (More)

- Abhay Jha, Shubhankar Ray, Brian Seaman, Inderjit S. Dhillon
- 2015 IEEE 31st International Conference on Dataâ€¦
- 2015

Forecasting accurately is essential to successful inventory planning in retail. Unfortunately, there is not always enough historical data to forecast items individually- this is particularly true inâ€¦ (More)

- Vibhav Gogate, Abhay Jha, Deepak Venugopal
- AAAI
- 2012

We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial variance reduction overâ€¦ (More)