+
PDF
Chat
|
Smoothing surfaces on fourfolds
|
2025
|
Scott Nollet
Anup Rao
|
+
PDF
Chat
|
On Distributional Discrepancy for Experimental Design with General
Assignment Probabilities
|
2024
|
Anup Rao
Peng Zhang
|
+
PDF
Chat
|
An XOR Lemma for Deterministic Communication Complexity
|
2024
|
S. Purushothaman Iyer
Anup Rao
|
+
PDF
Chat
|
Hallucination Diversity-Aware Active Learning for Text Summarization
|
2024
|
Yu Xia
Xu Liu
Tong Yu
Sungchul Kim
Ryan A. Rossi
Anup Rao
Tung Mai
Shuai Li
|
+
PDF
Chat
|
Hallucination Diversity-Aware Active Learning for Text Summarization
|
2024
|
Yu Xia
Xu Liu
Tong Yu
Sungchul Kim
Ryan A. Rossi
Anup Rao
Tung Mai
Shuai Li
|
+
PDF
Chat
|
Decentralized Personalized Online Federated Learning
|
2023
|
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
|
+
|
Optimal Sketching Bounds for Sparse Linear Regression
|
2023
|
Tung Mai
Alexander Munteanu
Cameron Musco
Anup Rao
Chris Schwiegelshohn
David P. Woodruff
|
+
|
Decentralized Personalized Online Federated Learning
|
2023
|
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
|
+
PDF
Chat
|
Conditional Generative Model Based Predicate-Aware Query Approximation
|
2022
|
Nikhil Sheoran
Subrata Mitra
Vibhor Porwal
Siddharth Ghetia
Jatin Varshney
Tung Mai
Anup Rao
Vikas Maddukuri
|
+
|
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes.
|
2021
|
A. Rama Mohan Reddy
Ryan A. Rossi
Zhao Song
Anup Rao
Tung Mai
Nedim Lipka
Gang Wu
Eunyee Koh
Nesreen K. Ahmed
|
+
|
An Interpretable Graph Generative Model with Heterophily.
|
2021
|
Sudhanshu Chanpuriya
Ryan A. Rossi
Anup Rao
Tung Mai
Nedim Lipka
Zhao Song
Cameron Musco
|
+
|
Multiscale Manifold Warping.
|
2021
|
Sridhar Mahadevan
Anup Rao
Georgios Theocharous
Jennifer Healey
|
+
PDF
Chat
|
Coresets for Classification -- Simplified and Strengthened
|
2021
|
Tung Mai
Anup Rao
Cameron Musco
|
+
PDF
Chat
|
Graph Neural Networks with Heterophily
|
2021
|
Jiong Zhu
Ryan A. Rossi
Anup Rao
Tung Mai
Nedim Lipka
Nesreen K. Ahmed
Danai Koutra
|
+
|
Designing Transportable Experiments Under S-admissability
|
2021
|
My V. T. Phan
David Arbour
Drew Dimmery
Anup Rao
|
+
|
Fundamental Tradeoffs in Distributionally Adversarial Training
|
2021
|
Mohammad Mehrabi
Adel Javanmard
Ryan A. Rossi
Anup Rao
Tung Mai
|
+
|
Online Discrepancy Minimization via Persistent Self-Balancing Walks
|
2021
|
David Arbour
Drew Dimmery
Tung Mai
Anup Rao
|
+
|
Asymptotics of Ridge Regression in Convolutional Models
|
2021
|
Mojtaba Sahraee-Ardakan
Tung Mai
Anup Rao
Ryan A. Rossi
Sundeep Rangan
Alyson K. Fletcher
|
+
|
Fundamental Tradeoffs in Distributionally Adversarial Training
|
2021
|
Mohamad Ali Mehrabi
Adel Javanmard
Ryan A. Rossi
Anup Rao
Tung Mai
|
+
|
Coresets for Classification -- Simplified and Strengthened
|
2021
|
Tung Mai
Anup Rao
Cameron Musco
|
+
|
Optimal Space and Time for Streaming Pattern Matching
|
2021
|
Tung Mai
Anup Rao
Ryan A. Rossi
Saeed Seddighin
|
+
PDF
Chat
|
Heterogeneous Graphlets
|
2020
|
Ryan A. Rossi
Nesreen K. Ahmed
Aldo Carranza
David Arbour
Anup Rao
Sungchul Kim
Eunyee Koh
|
+
|
Heterogeneous Graphlets
|
2020
|
Ryan A. Rossi
Nesreen K. Ahmed
Aldo Carranza
David Arbour
Anup Rao
Sungchul Kim
Eunyee Koh
|
+
|
Efficient Balanced Treatment Assignments for Experimentation
|
2020
|
David Arbour
Drew Dimmery
Anup Rao
|
+
|
Designing Transportable Experiments
|
2020
|
My V. T. Phan
David Arbour
Drew Dimmery
Anup Rao
|
+
PDF
Chat
|
Higher-order Clustering in Complex Heterogeneous Networks
|
2020
|
Aldo Carranza
Ryan A. Rossi
Anup Rao
Eunyee Koh
|
+
|
Model Selection in Contextual Stochastic Bandit Problems
|
2020
|
Aldo Pacchiano
My V. T. Phan
Yasin Abbasi-Yadkori
Anup Rao
Julian Zimmert
Tor Lattimore
Csaba SzepesvĂĄri
|
+
|
Determinant-Preserving Sparsification of SDDM Matrices
|
2020
|
David Durfee
John Peebles
Richard Peng
Anup Rao
|
+
|
Efficient Balanced Treatment Assignments for Experimentation
|
2020
|
David Arbour
Drew Dimmery
Anup Rao
|
+
|
Graph Neural Networks with Heterophily
|
2020
|
Jiong Zhu
Ryan A. Rossi
Anup Rao
Tung Mai
Nedim Lipka
Nesreen K. Ahmed
Danai Koutra
|
+
|
Designing Transportable Experiments
|
2020
|
My V. T. Phan
David Arbour
Drew Dimmery
Anup Rao
|
+
PDF
Chat
|
Approximate Maximum Matching in Random Streams
|
2019
|
Alireza Farhadi
Mohammad Taghi Hajiaghayi
Tung Mah
Anup Rao
Ryan A. Rossi
|
+
|
Approximate Maximum Matching in Random Streams
|
2019
|
Alireza Farhadi
MohammadTaghi Hajiaghayi
Tung Mai
Anup Rao
Ryan A. Rossi
|
+
|
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs
|
2019
|
Ryan A. Rossi
Anup Rao
Sungchul Kim
Eunyee Koh
Nesreen K. Ahmed
Gang Wu
|
+
|
Efficient Second-Order Shape-Constrained Function Fitting
|
2019
|
David Durfee
Yu Gao
Anup Rao
Sebastian Wild
|
+
|
Heterogeneous Network Motifs.
|
2019
|
Ryan A. Rossi
Nesreen K. Ahmed
Aldo Carranza
David Arbour
Anup Rao
Sungchul Kim
Eunyee Koh
|
+
PDF
Chat
|
Efficient Second-Order Shape-Constrained Function Fitting
|
2019
|
David Durfee
Yu Gao
Anup Rao
Sebastian Wild
|
+
|
Efficient Second-Order Shape-Constrained Function Fitting
|
2019
|
David Durfee
Yu Gao
Anup Rao
Sebastian Wild
|
+
|
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations
|
2018
|
Michael B. Cohen
Jonathan A. Kelner
Rasmus Kyng
John Peebles
Richard Peng
Anup Rao
Aaron Sidford
|
+
PDF
Chat
|
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations
|
2018
|
Michael B. Cohen
Jonathan A. Kelner
Rasmus Kyng
John Peebles
Richard Peng
Anup Rao
Aaron Sidford
|
+
|
New Insights into Bootstrapping for Bandits.
|
2018
|
Sharan Vaswani
Branislav Kveton
Zheng Wen
Anup Rao
Mark Schmidt
Yasin Abbasi-Yadkori
|
+
|
Higher-order Graph Convolutional Networks
|
2018
|
John Boaz Lee
Ryan A. Rossi
Xiangnan Kong
Sungchul Kim
Eunyee Koh
Anup Rao
|
+
|
Latent Network Summarization: Bridging Network Embedding and Summarization
|
2018
|
Di Jin
Ryan A. Rossi
Danai Koutra
Eunyee Koh
Sungchul Kim
Anup Rao
|
+
|
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations
|
2018
|
Michael B. Cohen
Jonathan A. Kelner
Rasmus Kyng
John Peebles
Richard Peng
Anup Rao
Aaron Sidford
|
+
PDF
Chat
|
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees
|
2017
|
David Durfee
John Peebles
Richard Peng
Anup Rao
|
+
|
Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs
|
2017
|
Michael B. Cohen
Jonathan A. Kelner
John Peebles
Richard Peng
Anup Rao
Aaron Sidford
Adrian Vladu
|
+
|
Sampling random spanning trees faster than matrix multiplication
|
2017
|
David Durfee
Rasmus Kyng
John Peebles
Anup Rao
Sushant Sachdeva
|
+
|
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees
|
2017
|
David Durfee
John Peebles
Richard Peng
Anup Rao
|
+
|
Concave Flow on Small Depth Directed Networks
|
2017
|
Tung Mai
Richard Peng
Anup Rao
Vijay V. Vazirani
|
+
|
Stochastic Low-Rank Bandits
|
2017
|
Branislav Kveton
Csaba SzepesvĂĄri
Anup Rao
Zheng Wen
Yasin Abbasi-Yadkori
S. Muthukrishnan
|
+
|
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees
|
2017
|
David Durfee
John Peebles
Richard Peng
Anup Rao
|
+
|
Sampling Random Spanning Trees Faster than Matrix Multiplication
|
2016
|
David Durfee
Rasmus Kyng
John Peebles
Anup Rao
Sushant Sachdeva
|
+
|
Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs
|
2016
|
Michael B. Cohen
Jonathan A. Kelner
John Peebles
Richard Peng
Anup Rao
Aaron Sidford
Adrian Vladu
|
+
PDF
Chat
|
Agnostic Estimation of Mean and Covariance
|
2016
|
Kevin A. Lai
Anup Rao
Santosh Vempala
|
+
|
Agnostic Estimation of Mean and Covariance
|
2016
|
Kevin A. Lai
Anup Rao
Santosh Vempala
|
+
|
Forbidden Subgraph Bounds for Parallel Repetition and the Density Hales-Jewett Theorem
|
2016
|
Jan HÄ
zĆa
Thomas Holenstein
Anup Rao
|
+
|
Agnostic Estimation of Mean and Covariance
|
2016
|
Kevin A. Lai
Anup Rao
Santosh Vempala
|
+
|
Sampling Random Spanning Trees Faster than Matrix Multiplication
|
2016
|
David Durfee
Rasmus Kyng
John Peebles
Anup Rao
Sushant Sachdeva
|
+
|
Fast, provable algorithms for Isotonic regression in all â- p -norms
|
2015
|
Rasmus Kyng
Anup Rao
Sushant Sachdeva
|
+
|
Algorithms for Lipschitz Learning on Graphs
|
2015
|
Rasmus Kyng
Anup Rao
Sushant Sachdeva
Daniel A. Spielman
|
+
|
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery
|
2015
|
Peter Chin
Anup Rao
Van Vu
|
+
|
Algorithms for Lipschitz Learning on Graphs
|
2015
|
Rasmus Kyng
Anup Rao
Sushant Sachdeva
Daniel A. Spielman
|
+
|
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery
|
2015
|
Peter Chin
Anup Rao
Van Vu
|
+
|
Fast, Provable Algorithms for Isotonic Regression in all $\ell_{p}$-norms
|
2015
|
Rasmus Kyng
Anup Rao
Sushant Sachdeva
|
+
|
Preconditioning in Expectation
|
2014
|
Michael B. Cohen
Rasmus Kyng
Jakub Pachocki
Richard Peng
Anup Rao
|
+
|
Linear algorithm for domatic number problem on interval graphs
|
1989
|
Anup Rao
C. Pandu Rangan
|