2023
A Decoder Suffices for Query-Adaptive Variational Inference
Sakshi Agarwal, Gabriel Hope, Ali Younis, and Erik B. Sudderth
Abstract | PDF | Supplemental | Poster | Video
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023).
2022
NeuroBE: Escalating Neural Network Approximations of Bucket Elimination
Sakshi Agarwal, Kalev Kask, Alexander Ihler, and Rina Dechter
Abstract | PDF | Supplemental | Poster
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022).
2022
NeuroBE: Escalating NN approximations to Bucket Elimination
Sakshi Agarwal, Kalev Kask, Alex Ihler, Rina Dechter
AAAI Workshop Combining Learning and Reasoning (CLeaR), 2022
2021
Deep Bucket Elimination
Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter
International Joint Conference on Artificial Intelligence (IJCAI), 2021
2019
Odium Revelio! Detecting Subtle Hate Speech in Online Conversations
Sandya Mannarswamy, Sakshi Agarwal
Workshop for Women in Machine Learning (WiML NeurIPS 2019)
2018
Decision Support Framework for Big Data Analytics
Sakshi Agarwal, Krishnaprasad Narayanan, Manjira Sinha, Rohit Gupta, Sharanya Eswaran, Tridib Mukherjee
IEEE World Congress on Services, 2018
2017
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations
Mohit Yadav, Sakshi Agarwal
The AAAI-17 Workshop on Crowdsourcing, Deep Learning, and Artificial Intelligence Agents WS-17-07
“Improving Subtle Hate Speech Classification”,
Invention Disclosure# 20180010 at Conduent Labs, \
“Method and System for Forecasting in Sparse Data Streams via Dense Data Streams”,
Invention Disclosure# 20180007 at Conduent Labs \
“Operational Analytics Engine for Police Business Intelligence Platform”,
Invention Disclosure# 20170032 at Conduent Labs, \
“Regularization and Learning an ensemble of RNN by decorrelating representations”,
Patent Legasis Ref No: P2138-IN at TCS Innovation Labs, \