Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs. - Furong Huang; U. N. Niranjan; Mohammad Umar Hakeem; Prateek Verma; Animashree Anandkumar (CoRR, 2013)

Non-convex Robust PCA. - Praneeth Netrapalli; U. N. Niranjan; Sujay Sanghavi; Animashree Anandkumar; Prateek Jain 002 (NIPS, 2014)

Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons. - Shanaz Y. Mistry; U. N. Niranjan; M. Gopi 001 (Comput. Aided Des., 2014)

Integrated Structure and Parameters Learning in Latent Tree Graphical Models. - Furong Huang; U. N. Niranjan; Animashree Anandkumar (CoRR, 2014)

Understanding Machine-learned Density Functionals. - Li Li 060; John C. Snyder; Isabelle M. Pelaschier; Jessica Huang; Uma-Naresh Niranjan; Paul Duncan; Matthias Rupp; Klaus-Robert Müller; Kieron Burke (CoRR, 2014)

FEAST at Play: Feature ExtrAction using Score function Tensors. - Majid Janzamin; Hanie Sedghi; U. N. Niranjan; Animashree Anandkumar (FE@NIPS, 2015)

Online tensor methods for learning latent variable models. - Furong Huang; U. N. Niranjan; Mohammad Umar Hakeem; Animashree Anandkumar (J. Mach. Learn. Res., 2015)

Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. - Anima Anandkumar; Prateek Jain 002; Yang Shi 005; U. N. Niranjan (AISTATS, 2016)

Tensor Contractions with Extended BLAS Kernels on CPU and GPU. - Yang Shi 005; U. N. Niranjan; Animashree Anandkumar; Cris Cecka (HiPC, 2016)

Guaranteed and Efficient Learning Algorithms for Ranking and Matrix Factorization. - Uma-Naresh Niranjan (2016)

Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. - U. N. Niranjan; Arun Rajkumar (AAAI, 2017)

Provable Inductive Robust PCA via Iterative Hard Thresholding. - U. N. Niranjan; Arun Rajkumar; Theja Tulabandhula (UAI, 2017)

Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier. - U. N. Niranjan; Arun Rajkumar (CoRR, 2017)

Guaranteed Scalable Learning of Latent Tree Models. - Furong Huang; U. N. Niranjan; Ioakeim Perros; Robert Chen 001; Jimeng Sun 001; Anima Anandkumar (UAI, 2019)

Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers. - Minjia Zhang; Uma-Naresh Niranjan; Yuxiong He (AAAI, 2022)

PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding. - Uma-Naresh Niranjan; Ziyan Jiang; Ankit Ankit; Sungjin Lee; Jie Hao; Xing Fan; Chenlei Guo (EMNLP (Industry Track), 2022)

ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise. - Minjia Zhang; Uma-Naresh Niranjan; Yuxiong He (CoRR, 2022)

PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding. - Uma-Naresh Niranjan; Ziyan Jiang; Ankit; Sungjin Lee; Jie Hao; Xing Fan; Chenlei Guo (CoRR, 2022)

Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning. - Minjia Zhang; Uma-Naresh Niranjan; Yuxiong He (ECAI, 2023)

CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models. - Son The Nguyen; Uma-Naresh Niranjan; Theja Tulabandhula (CoRR, 2024)