Nikhil Rao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Decision Stumps

Matrix Factorization

Hard Thresholding

Top Venues

Publications

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme
Dodo: Dynamic Contextual Compression for Decoder-only LMs. ACL (1) (2024)
Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents. CoRR (2024)
Reese Kuper, Ipoom Jeong, Yifan Yuan, Ren Wang, Narayan Ranganathan, Nikhil Rao, Jiayu Hu, Sanjay Kumar, Philip Lantz, Nam Sung Kim
A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors. ASPLOS (2) (2024)
Yifan Yuan, Ren Wang, Narayan Ranganathan, Nikhil Rao, Sanjay Kumar, Philip Lantz, Vivekananthan Sanjeepan, Jorge Cabrera, Atul Kwatra, Rajesh Sankaran, Ipoom Jeong, Nam Sung Kim
Intel Accelerators Ecosystem: An SoC-Oriented Perspective : Industry Product. ISCA (2024)
Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme
Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models. CoRR (2023)
Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
Contrastive Post-training Large Language Models on Data Curriculum. CoRR (2023)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM (2022)
Thomas Huber, Swaroop Pophale, Nolan Baker, Michael Carr, Nikhil Rao, Jaydon Reap, Kristina Holsapple, Joshua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, Sunita Chandrasekaran
ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. CoRR (2022)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. CoRR (2022)
Thomas Huber, Swaroop Pophale, Nolan Baker, Michael Carr, Nikhil Rao, Jaydon Reap, Kristina Holsapple, Joshua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, Sunita Chandrasekaran
ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. P3HPC@SC (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW (2021)
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. CoRR (2021)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR (2021)
Sumeet Katariya, Nikhil Rao, Chandan K. Reddy
Workshop on Data-Efficient Machine Learning (DeMaL). KDD (2021)
Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon
Cluster-and-Conquer: A Framework For Time-Series Forecasting. CoRR (2021)
Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy
Pure Exploration in Multi-armed Bandits with Graph Side Information. CoRR (2021)
Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec
Bipartite Dynamic Representations for Abuse Detection. KDD (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR (2021)
Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
Finding Needles in Heterogeneous Haystacks. AAAI (2021)
Nikhil Rao
Learning with Little Data: Industry Challenges and Innovations. SIGIR (2021)
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. WSDM (2020)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. CoRR (2020)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR (2020)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. ACL (2020)
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. AISTATS (2020)
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS (2020)
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR (2019)
Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. WWW (2018)
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
Dynamic Word Embeddings for Evolving Semantic Discovery. WSDM (2018)
Vatsal Shah, Nikhil Rao, Weicong Ding
Matrix Factorization with Side and Higher Order Information. CoRR (2017)
Yifan Sun, Nikhil Rao, Weicong Ding
A Simple Approach to Learn Polysemous Word Embeddings. CoRR (2017)
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
Discovery of Evolving Semantics through Dynamic Word Embedding Learning. CoRR (2017)
Nikhil Rao, Miroslav Dudík, Zaïd Harchaoui
The group k-support norm for learning with structured sparsity. ICASSP (2017)
Rennie Archibald, Dhruv Gupta, Rittwik Jana, Vijay Gopalakrishnan, Ashok Sunder Rajan, Kannan Babu Ramia, Dan Dahle, Jacob Cooper, George Kennedy, Nikhil Rao, Shantkumar Sonnads, Martin Mcdonald
An IoT control plane model and its impact analysis on a virtualized MME for connected cars. LANMAN (2016)
Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
Structured Sparse Regression via Greedy Hard-Thresholding. CoRR (2016)
Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon
Goal-Directed Inductive Matrix Completion. KDD (2016)
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. NIPS (2016)
Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
Structured Sparse Regression via Greedy Hard Thresholding. NIPS (2016)
Nikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon
Collaborative Filtering with Graph Information: Consistency and Scalable Methods. NIPS (2015)
Nagarajan Natarajan, Nikhil Rao, Inderjit S. Dhillon
PU matrix completion with graph information. CAMSAP (2015)
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
Temporal Regularized Matrix Factorization. CoRR (2015)