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Statistical ranking and combinatorial Hodge theory
v1v2 (latest)

Statistical ranking and combinatorial Hodge theory

7 November 2008
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
ArXiv (abs)PDFHTML

Papers citing "Statistical ranking and combinatorial Hodge theory"

50 / 85 papers shown
Localizing Preference Aggregation Conflicts: A Graph-Theoretic Approach Using Sheaves
Localizing Preference Aggregation Conflicts: A Graph-Theoretic Approach Using Sheaves
Karen Sargsyan
67
0
0
02 Dec 2025
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang
Ke Ma
Xiaojun Jia
Yingfei Sun
Qianqian Xu
Qingming Huang
AAML
1.2K
5
0
03 May 2025
Characterizing the Convergence of Game Dynamics via Potentialness
Characterizing the Convergence of Game Dynamics via Potentialness
Martin Bichler
Davide Legacci
P. Mertikopoulos
Matthias Oberlechner
Bary S. R. Pradelski
285
0
0
20 Mar 2025
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
No-regret learning in harmonic games: Extrapolation in the face of conflicting interestsNeural Information Processing Systems (NeurIPS), 2024
Davide Legacci
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
Bary S. R. Pradelski
367
6
0
31 Dec 2024
Shared-Endpoint Correlations and Hierarchy in Random Flows on Graphs
Shared-Endpoint Correlations and Hierarchy in Random Flows on GraphsResults in Applied Mathematics (RAM), 2024
Joshua Richland
Alexander Strang
193
1
0
09 Nov 2024
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain
So Takao
Xiaowen Dong
Bastian Rieck
Emmanuel Noutahi
641
4
0
14 Oct 2024
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for
  Continual Graph Learning
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph LearningACM Multimedia (MM), 2024
Jinhui Pang
Changqing Lin
Xiaoshuai Hao
Rong Yin
Zixuan Wang
Zhihui Zhang
Zhihui Zhang
Huang Tai Sheng
392
8
0
28 Jul 2024
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
Ke Ma
Qianqian Xu
Jinshan Zeng
Wen Liu
Xiaochun Cao
Yingfei Sun
Qingming Huang
331
13
0
02 Jul 2024
Beyond symmetrization: effective adjacency matrices and renormalization
  for (un)singed directed graphs
Beyond symmetrization: effective adjacency matrices and renormalization for (un)singed directed graphs
Bruno Messias Farias de Resende
266
0
0
03 Jun 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection
Towards Global Optimal Visual In-Context Learning Prompt Selection
Chengming Xu
Chen Liu
Yikai Wang
Yanwei Fu
236
15
0
24 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Johan Mathe
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Pavlo Vasylenko
411
6
0
23 May 2024
A geometric decomposition of finite games: Convergence vs. recurrence
  under exponential weights
A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights
Davide Legacci
P. Mertikopoulos
Bary S. R. Pradelski
408
10
0
12 May 2024
CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
S. Nguyen
Uma-Naresh Niranjan
Theja Tulabandhula
460
0
0
05 Mar 2024
Position: Topological Deep Learning is the New Frontier for Relational
  Learning
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou
Tolga Birdal
Michael M. Bronstein
Gunnar Carlsson
Justin Curry
...
Petar Velickovic
Bei Wang
Yusu Wang
Guo-Wei Wei
Ghada Zamzmi
AI4CE
377
75
0
14 Feb 2024
Cycle Invariant Positional Encoding for Graph Representation Learning
Cycle Invariant Positional Encoding for Graph Representation LearningLOG IN (LOG IN), 2023
Zuoyu Yan
Teng Ma
Liangcai Gao
Zhi Tang
Chao Chen
Yusu Wang
358
8
0
24 Nov 2023
Multiscale Hodge Scattering Networks for Data Analysis
Multiscale Hodge Scattering Networks for Data Analysis
Naoki Saito
Stefan C. Schonsheck
Eugene Shvarts
369
2
0
17 Nov 2023
Hodge-Compositional Edge Gaussian Processes
Hodge-Compositional Edge Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Maosheng Yang
Viacheslav Borovitskiy
Elvin Isufi
480
16
0
30 Oct 2023
Causal disentanglement of multimodal data
Causal disentanglement of multimodal data
Elise Walker
Jonas A. Actor
Carianne Martinez
Nathaniel Trask
CML
284
2
0
27 Oct 2023
Improved theoretical guarantee for rank aggregation via spectral method
Improved theoretical guarantee for rank aggregation via spectral methodInformation and Inference A Journal of the IMA (JIII), 2023
Ziliang Samuel Zhong
Shuyang Ling
295
4
0
07 Sep 2023
Ordinal Potential-based Player Rating
Ordinal Potential-based Player RatingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
N. Vadori
Rahul Savani
414
3
0
08 Jun 2023
Reversible and irreversible bracket-based dynamics for deep graph neural
  networks
Reversible and irreversible bracket-based dynamics for deep graph neural networksNeural Information Processing Systems (NeurIPS), 2023
A. Gruber
Kookjin Lee
N. Trask
AI4CE
331
23
0
24 May 2023
Architectures of Topological Deep Learning: A Survey of Message-Passing
  Topological Neural Networks
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
Johan Mathe
Sophia Sanborn
Pavlo Vasylenko
Nina Miolane
3DVAI4CE
536
47
0
20 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond
Structure Learning with Continuous Optimization: A Sober Look and BeyondCLEaR (CLEaR), 2023
Ignavier Ng
Erdun Gao
Kun Zhang
CML
461
34
0
04 Apr 2023
Convolutional Learning on Simplicial Complexes
Convolutional Learning on Simplicial Complexes
Maosheng Yang
Elvin Isufi
289
26
0
26 Jan 2023
Perfect Sampling from Pairwise Comparisons
Perfect Sampling from Pairwise ComparisonsNeural Information Processing Systems (NeurIPS), 2022
Eleni Psaroudaki
Alkis Kalavasis
Christos Tzamos
342
4
0
23 Nov 2022
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank
  Aggregation Is the Fixed Point of Adversarial Game
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial GameIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ke Ma
Qianqian Xu
Jinshan Zeng
Guorong Li
Xiaochun Cao
Qingming Huang
AAML
191
22
0
13 Sep 2022
Dynamic Ranking and Translation Synchronization
Dynamic Ranking and Translation SynchronizationInformation and Inference A Journal of the IMA (JIII), 2022
E. Araya
Eglantine Karlé
Hemant Tyagi
539
4
0
04 Jul 2022
On the Limitations of Elo: Real-World Games, are Transitive, not
  Additive
On the Limitations of Elo: Real-World Games, are Transitive, not AdditiveInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Quentin Bertrand
Wojciech M. Czarnecki
Gauthier Gidel
462
26
0
21 Jun 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networksData-Centric Engineering (DE), 2022
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINNAI4CE
391
56
0
16 May 2022
Watts: Infrastructure for Open-Ended Learning
Watts: Infrastructure for Open-Ended Learning
Aaron Dharna
Charlie Summers
Rohin Dasari
Julian Togelius
Amy K. Hoover
213
2
0
28 Apr 2022
Simplicial Convolutional Filters
Simplicial Convolutional FiltersIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
392
40
0
27 Jan 2022
Matrix Reordering for Noisy Disordered Matrices: Optimality and
  Computationally Efficient Algorithms
Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient AlgorithmsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
T. Tony Cai
Rong Ma
297
7
0
17 Jan 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Learning to Identify Top Elo Ratings: A Dueling Bandits ApproachAAAI Conference on Artificial Intelligence (AAAI), 2022
Xueqiang Yan
Yali Du
Binxin Ru
Jun Wang
Haifeng Zhang
Xu Chen
310
9
0
12 Jan 2022
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Jamie Haddock
B. Jarman
C. Yap
219
8
0
27 Oct 2021
Lagrangian Inference for Ranking Problems
Lagrangian Inference for Ranking Problems
Yue Liu
Ethan X. Fang
Junwei Lu
BDLFedML
273
28
0
01 Oct 2021
The decomposition of the higher-order homology embedding constructed
  from the $k$-Laplacian
The decomposition of the higher-order homology embedding constructed from the kkk-LaplacianNeural Information Processing Systems (NeurIPS), 2021
Yu-Chia Chen
M. Meilă
454
11
0
23 Jul 2021
Poisoning Attack against Estimating from Pairwise Comparisons
Poisoning Attack against Estimating from Pairwise Comparisons
Ke Ma
Qianqian Xu
Jinshan Zeng
Xiaochun Cao
Qingming Huang
AAML
237
29
0
05 Jul 2021
Axiomatic and Probabilistic Foundations for the Hodge-Theoretic Shapley Value
Axiomatic and Probabilistic Foundations for the Hodge-Theoretic Shapley Value
Tongseok Lim
121
4
0
29 Jun 2021
Bitcoin's Crypto Flow Network
Bitcoin's Crypto Flow NetworkSocial Science Research Network (SSRN), 2021
Yoshiyuki Fujiwara
Rubaiyat Islam
142
3
0
21 Jun 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
DAGs with No Curl: An Efficient DAG Structure Learning ApproachInternational Conference on Machine Learning (ICML), 2021
Yue Yu
Tian Gao
Naiyu Yin
Q. Ji
CML
265
77
0
14 Jun 2021
Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance
  Measures
Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance MeasuresIEEE Internet of Things Journal (IEEE IoT Journal), 2021
M. Banavar
Shandeepa Wickramasinghe
Monalisa Achalla
Jie Sun
187
4
0
06 May 2021
What are higher-order networks?
What are higher-order networks?SIAM Review (SIAM Rev.), 2021
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
589
453
0
20 Apr 2021
Finite Impulse Response Filters for Simplicial Complexes
Finite Impulse Response Filters for Simplicial ComplexesEuropean Signal Processing Conference (EUSIPCO), 2021
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
199
42
0
23 Mar 2021
Helmholtzian Eigenmap: Topological feature discovery & edge flow
  learning from point cloud data
Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
Yu-Chia Chen
Weicheng Wu
M. Meilă
Ioannis G. Kevrekidis
298
14
0
13 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction
Principled Simplicial Neural Networks for Trajectory PredictionInternational Conference on Machine Learning (ICML), 2021
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
467
112
0
19 Feb 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and BeyondSignal Processing (Signal Process.), 2021
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
813
186
0
14 Jan 2021
On the Convergence of Continuous Constrained Optimization for Structure
  Learning
On the Convergence of Continuous Constrained Optimization for Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ignavier Ng
Sébastien Lachapelle
Nan Rosemary Ke
Damien Scieur
Kun Zhang
585
45
0
23 Nov 2020
Do economic effects of the anti-COVID-19 lockdowns in different regions
  interact through supply chains?
Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?PLoS ONE (PLOS ONE), 2020
Hiroyasu Inoue
Yohsuke Murase
Y. Todo
173
37
0
15 Sep 2020
Nonconvex Matrix Completion with Linearly Parameterized Factors
Nonconvex Matrix Completion with Linearly Parameterized FactorsJournal of machine learning research (JMLR), 2020
Ji Chen
Xiaodong Li
Zongming Ma
337
3
0
29 Mar 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing
  Classifiers Adaptively
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers AdaptivelyInternational Conference on Learning Representations (ICLR), 2020
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
VLM
222
20
0
25 Feb 2020
12
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