7 citations · 8 across the 5 of their papers we have counts for
5 papers
DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction
Reazul Hasan Russel, Mingwei Tang, Rostam Shirani +18
Offsite conversion rate (OCVR) prediction is an important ranking problem in computational recommendation systems. This task presents a modeling challenge: click signals are abunda…
Doppelgänger's Watch: A Split Objective Approach to Large Language Models
Shervin Ghasemlou, Ashish Katiyar, Aparajita Saraf +5
In this paper, we investigate the problem of "generation supervision" in large language models, and present a novel bicameral architecture to separate supervision signals from thei…
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise
Ashish Katiyar, Soumya Basu, Vatsal Shah +1
We study the problem of learning tree-structured Markov random fields (MRF) on discrete random variables with common support when the observations are corrupted by a -ary symmet…
Robust Estimation of Tree Structured Ising Models
Ashish Katiyar, Vatsal Shah, Constantine Caramanis
We consider the task of learning Ising models when the signs of different random variables are flipped independently with possibly unequal, unknown probabilities. In this paper, we…
Robust estimation of tree structured Gaussian Graphical Model
Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis
Consider jointly Gaussian random variables whose conditional independence structure is specified by a graphical model. If we observe realizations of the variables, we can compute t…