Anup Rao

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All published works
Action Title Year Authors
+ 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 HązƂa
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 ℓ- 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
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Nearly Linear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems 2014 Daniel A. Spielman
Shang‐Hua Teng
8
+ PDF Chat User-Friendly Tail Bounds for Sums of Random Matrices 2011 Joel A. Tropp
7
+ Learning Role-based Graph Embeddings 2018 Nesreen K. Ahmed
Ryan A. Rossi
John Boaz Lee
Xiangnan Kong
Theodore L. Willke
Rong Zhou
Hoda Eldardiry
6
+ PDF Chat Fast Generation of Random Spanning Trees and the Effective Resistance Metric 2014 Aleksander Ma̧dry
Damian Straszak
Jakub Tarnawski
5
+ PDF Chat Efficient Accelerated Coordinate Descent Methods and Faster Algorithms for Solving Linear Systems 2013 Yin Tat Lee
Aaron Sidford
5
+ PDF Chat A Nearly-m log n Time Solver for SDD Linear Systems 2011 Ioannis Koutis
Gary L. Miller
Richard Peng
5
+ PDF Chat Graph Sparsification by Effective Resistances 2011 Daniel A. Spielman
Nikhil Srivastava
5
+ PDF Chat Efficient Graphlet Counting for Large Networks 2015 Nesreen K. Ahmed
Jennifer Neville
Ryan A. Rossi
Nick Duffield
5
+ PDF Chat Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems 2004 Daniel A. Spielman
Shang‐Hua Teng
5
+ A nearly-mlogn time solver for SDD linear systems 2011 Ioannis Koutis
Gary L. Miller
Richard Peng
4
+ PDF Chat DeepWalk 2014 Bryan Perozzi
Rami Al‐Rfou
Steven Skiena
4
+ Path Finding Methods for Linear Programming: Solving Linear Programs in Õ(vrank) Iterations and Faster Algorithms for Maximum Flow 2014 Yin Tat Lee
Aaron Sidford
4
+ PDF Chat A simple, combinatorial algorithm for solving SDD systems in nearly-linear time 2013 Jonathan A. Kelner
Lorenzo Orecchia
Aaron Sidford
Zeyuan Allen Zhu
4
+ PDF Chat Extension of range of functions 1934 E. J. McShane
4
+ PDF Chat RAGE – A rapid graphlet enumerator for large networks 2011 Dror Marcus
Yuval Shavitt
4
+ Sparsified Cholesky and multigrid solvers for connection laplacians 2016 Rasmus Kyng
Yin Tat Lee
Richard Peng
Sushant Sachdeva
Daniel A. Spielman
4
+ Community structure in social and biological networks 2002 Michelle Girvan
M. E. J. Newman
3
+ PDF Chat Uncovering the overlapping community structure of complex networks in nature and society 2005 Gergely Palla
Imre Derényi
Illés J. Farkas
TamĂĄs Vicsek
3
+ Fast generation of random spanning trees and the effective resistance metric 2015 Aleksander Ma̧dry
Damian Straszak
Jakub Tarnawski
3
+ Unranking and ranking spanning trees of a graph 1989 Charles J. Colbourn
Robert P.J Day
Louis H. Nel
3
+ PDF Chat LINE 2015 Jian Tang
Meng Qu
Wang Ming-zhe
Ming Zhang
Jun Yan
Qiaozhu Mei
3
+ PDF Chat Local Characteristics, Entropy and Limit Theorems for Spanning Trees and Domino Tilings Via Transfer-Impedances 1993 Robert Burton
Robin Pemantle
3
+ Sampling random spanning trees faster than matrix multiplication 2017 David Durfee
Rasmus Kyng
John Peebles
Anup Rao
Sushant Sachdeva
3
+ PDF Chat Graphlet decomposition: framework, algorithms, and applications 2016 Nesreen K. Ahmed
Jennifer Neville
Ryan A. Rossi
Nick Duffield
Theodore L. Willke
3
+ PDF Chat GREAT: GRaphlet Edge-based network AlignmenT 2015 Joseph Crawford
Tijana Milenković
3
+ Concentration inequalities : a non asymptotic theory of independence 2013 Stéphane Boucheron
GĂĄbor Lugosi
Pascal Massart
3
+ PDF Chat An efficient parallel solver for SDD linear systems 2014 Richard Peng
Daniel A. Spielman
3
+ Expanders via random spanning trees 2009 Navin Goyal
Luis Rademacher
Santosh Vempala
3
+ Approximate Gaussian Elimination for Laplacians: Fast, Sparse, and Simple 2016 Rasmus Kyng
Sushant Sachdeva
3
+ The Numbers of Spanning Trees, Hamilton Cycles and Perfect Matchings in a Random Graph 1994 Svante Janson
3
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
3
+ Generating random spanning trees 1989 Arndt Bröder
3
+ PDF Chat Biological network comparison using graphlet degree distribution 2007 NataĆĄa PrĆŸulj
3
+ PDF Chat Faster Generation of Random Spanning Trees 2009 Jonathan A. Kelner
Aleksander Mądry
3
+ Connected Components in Random Graphs with Given Expected Degree Sequences 2002 Fan Chung
Linyuan LĂŒ
3
+ Faster approximate lossy generalized flow via interior point algorithms 2008 Samuel I. Daitch
Daniel A. Spielman
3
+ Causal Inference Using Potential Outcomes 2005 Donald B. Rubin
3
+ PDF Chat The Random Walk Construction of Uniform Spanning Trees and Uniform Labelled Trees 1990 David Aldous
3
+ PDF Chat Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More 2016 Michael B. Cohen
Jonathan A. Kelner
John Peebles
Richard Peng
Aaron Sidford
Adrian Vladu
3
+ PDF Chat Spectral Sparsification of Graphs 2011 Daniel A. Spielman
Shang‐Hua Teng
3
+ PDF Chat Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems 2012 SĂ©bastien Bubeck
NicolĂČ Cesa‐Bianchi
2
+ Bias-robust estimators of multivariate scatter based on projections 1992 Ricardo A. Maronna
Werner A. Stahel
Vı́ctor J. Yohai
2
+ The optimal recovery of smooth functions 1976 Charles A. Micchelli
T. J. Rivlin
S. Winograd
2
+ PDF Chat Robust Estimation of a Location Parameter 1964 Peter J. Huber
2
+ Robust Estimates of Location and Dispersion for High-Dimensional Datasets 2002 Ricardo A. Maronna
Ruben H. Zamar
2
+ Robust Estimation of Dispersion Matrices and Principal Components 1981 Susan J. Devlin
R. Gnanadesikan
J. R. Kettenring
2
+ Defining and identifying communities in networks 2004 Filippo Radicchi
Claudio Castellano
Federico Cecconi
Vittorio Loreto
Domenico Parisi
2
+ Principal Component Analysis with Contaminated Data: The High Dimensional Case 2010 Huan Xu
Constantine Caramanis
Shie Mannor
2
+ PDF Chat Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness 1992 David L. Donoho
Miriam Gasko
2
+ PDF Chat Temporal motifs in time-dependent networks 2011 Lauri Kovanen
MĂĄrton Karsai
Kimmo Kaski
Jånos Kertész
Jari SaramÀki
2