5 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
Active Preference Learning over Latent Preference Archetypes for Many-Objective Bayesian Optimization
Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang +1
Preference-based many-objective Bayesian optimization typically assumes that all pairwise comparisons arise from a single latent utility function, despite real decision makers ofte…
HyperHawkes: Hypernetwork based Neural Temporal Point Process
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
Temporal point process serves as an essential tool for modeling time-to-event data in continuous time space. Despite having massive amounts of event sequence data from various doma…
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Event data consisting of time of occurrence of the events arises in several real-world applications. Recent works have introduced neural network based point processes for modeling…