Nikhil Rao

CoRR, 2023

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.

[BibT_eX]

[DOI]

CoRR, 2023

Search Behavior Prediction: A Hypergraph Perspective.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.

[BibT_eX]

[DOI]

Nurendra Choudhary

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Text Enriched Sparse Hyperbolic Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

[BibT_eX]

[DOI]

Sambaran Bandyopadhyay

Arnab Biswas

Anlu Xing

CoRR, 2022

ALLIE: Active Learning on Large-scale Imbalanced Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Srinivasan H. Sengamedu

George Katsogiannis-Meimarakis

Friedhelm Victor

Bernhard Haslhofer

Vidhisha Balachandran

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

ANTHEM: Attentive Hyperbolic Entity Model for Product Search.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Task-Agnostic Graph Explanations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Maximizing and Satisficing in Multi-armed Bandits with Graph Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Learning Backward Compatible Embeddings.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hyperbolic Neural Networks: Theory, Architectures and Applications.

[BibT_eX]

[DOI]

Nurendra Choudhary

Srinivasan H. Sengamedu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Cluster-and-Conquer: A Framework For Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Pure Exploration in Multi-armed Bandits with Graph Side Information.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning with Little Data: Industry Challenges and Innovations.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bipartite Dynamic Representations for Abuse Detection.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Workshop on Data-Efficient Machine Learning (DeMaL).

[BibT_eX]

[DOI]

Sumeet Katariya

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Finding Needles in Heterogeneous Haystacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Robust Models for e-Commerce Product Search.

[BibT_eX]

[DOI]

Thanh Van Nguyen

CoRR, 2020

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Regularized Graph Convolutional Networks for Short Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Scalable Feature Selection for (Multitask) Gradient Boosted Trees.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Robust Models for e-Commerce Product Search.

[BibT_eX]

[DOI]

Thanh V. Nguyen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Identifying Facet Mismatches In Search Via Micrographs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dynamic Word Embeddings for Evolving Semantic Discovery.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Discovery of Evolving Semantics through Dynamic Word Embedding Learning.

[BibT_eX]

[DOI]

CoRR, 2017

A Simple Approach to Learn Polysemous Word Embeddings.

[BibT_eX]

[DOI]

Yifan Sun

Weicong Ding

CoRR, 2017

Matrix Factorization with Side and Higher Order Information.

[BibT_eX]

[DOI]

Vatsal Shah

Weicong Ding

CoRR, 2017

The group k-support norm for learning with structured sparsity.

[BibT_eX]

[DOI]

Miroslav Dudík

Zaïd Harchaoui

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On Learning High Dimensional Structured Single Index Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Classification With the Sparse Group Lasso.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction.

[BibT_eX]

[DOI]

Hsiang-Fu Yu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Sparse Regression via Greedy Hard Thresholding.

[BibT_eX]

[DOI]

Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Goal-Directed Inductive Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Forward-Backward Greedy Algorithms for Atomic Norm Regularization.

[BibT_eX]

[DOI]

Stephen J. Wright

IEEE Trans. Signal Process., 2015

Temporal Regularized Matrix Factorization.

[BibT_eX]

[DOI]

Hsiang-Fu Yu

CoRR, 2015

Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice.

[BibT_eX]

[DOI]

Gongguo Tang

CoRR, 2015

Learning Single Index Models in High Dimensions.

[BibT_eX]

[DOI]

CoRR, 2015

Sparse and Low-Rank Tensor Decomposition.

[BibT_eX]

[DOI]

Gongguo Tang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Collaborative Filtering with Graph Information: Consistency and Scalable Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

PU matrix completion with graph information.

[BibT_eX]

[DOI]

Nagarajan Natarajan

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Logistic Regression with Structured Sparsity.

[BibT_eX]

[DOI]

CoRR, 2014

Forward - Backward greedy algorithms for signal demixing.

[BibT_eX]

[DOI]