Ryan A. Rossi

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 220

Top Venues

CoRR

BigData

WWW (Companion Volume)

CIKM

Publications

Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constrain. CoRR (2024)
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR (2024)
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR (2024)
Guande Wu, Shunan Guo, Jane Hoffswell, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Eunyee Koh
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy
Continuous Treatment Effects with Surrogate Outcomes. CoRR (2024)
Brodrick Stigall, Ryan A. Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh, Kelly Caine
On Chatbots for Visual Exploratory Data Analysis. BigData (2023)
Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. CIKM (2023)
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR (2023)
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR (2023)
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD (2023)
Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. CoRR (2023)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. CoRR (2023)
Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR (2023)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR (2023)
Enyu Cai, Ryan A. Rossi, Chang Xiao
Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications. CHI Extended Abstracts (2023)
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) (2023)
Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR (2023)
Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu
WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. VL/HCC (2023)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. CoRR (2023)
Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan A. Rossi, Shunan Guo, Fan Du, Jian Zhao
De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. CHI (2023)
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR (2023)
Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung Ngo, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages. CoRR (2023)
Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova
Learning the Visualness of Text Using Large Vision-Language Models. CoRR (2023)
Alex Tang, Gromit Chan, Ryan A. Rossi, Chang Xiao, Eunyee Koh
Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. BigData (2023)
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR (2023)
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
Interpretable Unsupervised Log Anomaly Detection. BigData (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Hypergraph Neural Networks for Time-series Forecasting. BigData (2023)
Jean-Peïc Chou, Alexa Fay Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala
TaleStream: Supporting Story Ideation with Trope Knowledge. UIST (2023)
Md Main Uddin Rony, Fan Du, Ryan A. Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Ahamath Burhanuddin, Eunyee Koh
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making. WWW (Companion Volume) (2023)
Mohammad Mehrabi, Ryan A. Rossi
A Model-free Closeness-of-influence Test for Features in Supervised Learning. CoRR (2023)
Jianna So, Nedim Lipka, Alexa F. Siu, Ryan A. Rossi, Franck Dernoncourt
How Small Businesses Transform PDF Agreements into Action. CSCW Companion (2023)
Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Ryan A. Rossi, Franck Dernoncourt
PDFTriage: Question Answering over Long, Structured Documents. CoRR (2023)
Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova
Learning the Visualness of Text Using Large Vision-Language Models. EMNLP (2023)
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR (2023)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. EMNLP (Findings) (2023)
Jianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li
Multi-Item Continuous Influence Maximization. BigData (2023)
Mohammad Mehrabi, Ryan A. Rossi
A Model-free Closeness-of-influence Test for Features in Supervised Learning. ICML (2023)
Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh
Discovery and Matching Numerical Attributes in Data Lakes. BigData (2023)
Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. BigData (2023)
Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS (2023)
Viet Dac Lai, Chien Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. EMNLP (Demos) (2023)
Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Gromit Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu
WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. CoRR (2023)
Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) (2023)
Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. NeurIPS (2023)
Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG (2023)
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
Bias and Fairness in Large Language Models: A Survey. CoRR (2023)
Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. BigData (2023)
Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi
PersonaSAGE: A Multi-Persona Graph Neural Network. BigData (2023)
Jean-Peïc Chou, Alexa F. Siu, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Maneesh Agrawala
TaleStream: Supporting Story Ideation with Trope Knowledge. CoRR (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu
Causal Discovery in Semi-Stationary Time Series. NeurIPS (2023)
Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CoRR (2023)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
SpotLight: Visual Insight Recommendation. WWW (Companion Volume) (2023)
Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava
Near Neighbor Search for Constraint Queries. BigData (2023)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. BigData (2023)
Viet Dac Lai, Chien Van Nguyen, Nghia Trung Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. CoRR (2023)
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD (2022)
Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz
Network Report: A Structured Description for Network Datasets. CoRR (2022)
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
On Generalizing Static Node Embedding to Dynamic Settings. WSDM (2022)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR (2022)
Chang Xiao, Ryan A. Rossi, Eunyee Koh
iMarker: Instant and True-to-scale AR with Invisible Markers. UIST (Adjunct Volume) (2022)
Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML (2022)
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. EMNLP (2022)
Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry
Clustering-based Unsupervised Generative Relation Extraction. Big Data (2022)
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR (2022)
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Implicit Session Contexts for Next-Item Recommendations. CoRR (2022)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
Personalized Visualization Recommendation. ACM Trans. Web 16 (3) (2022)
Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell
Cicero: A Declarative Grammar for Responsive Visualization. CoRR (2022)
Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. CoRR (2022)
Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM (2022)
Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW (2022)
Beleicia Bullock, Shunan Guo, Eunyee Koh, Ryan A. Rossi, Fan Du, Jane Hoffswell
Let's Get Personal: Exploring the Design of Personalized Visualizations. IEEE VIS (Short Papers) (2022)
Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM (2022)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS (2022)
April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Yeuk-Yin Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed
Graph Learning with Localized Neighborhood Fairness. CoRR (2022)
Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu
Neural Point Process for Learning Spatiotemporal Event Dynamics. L4DC (2022)
Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. IEEE VIS (Short Papers) (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW (2022)
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR (2022)
Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR (2022)
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM (2022)
Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell
Cicero: A Declarative Grammar for Responsive Visualization. CHI (2022)
Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz
Network Report: A Structured Description for Network Datasets. CIKM (2022)
Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka
Task-Oriented Near-Lossless Burst Compression. ISM (2022)
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Implicit Session Contexts for Next-Item Recommendations. CIKM (2022)
Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi
PersonaSAGE: A Multi-Persona Graph Neural Network. CoRR (2022)
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. CoRR (2022)
Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR (2022)
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. CoRR (2021)
Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Insight-centric Visualization Recommendation. CoRR (2021)
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai
Fundamental Tradeoffs in Distributionally Adversarial Training. ICML (2021)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. ICML (2021)
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan
Learning to Recommend Visualizations from Data. KDD (2021)
Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher
Asymptotics of Ridge Regression in Convolutional Models. CoRR (2021)
Hongchang Gao, Gang Wu, Ryan A. Rossi
Provable Distributed Stochastic Gradient Descent with Delayed Updates. SDM (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ryan A. Rossi