Rishi Sonthalia

According to our database, Rishi Sonthalia authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers.

Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia

Trans. Mach. Learn. Res., 2024

Identification of Mean-Field Dynamics using Transformers.

Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia

CoRR, 2024

Generalization for Least Squares Regression With Simple Spiked Covariances.

Jiping Li, Rishi Sonthalia

CoRR, 2024

On Regularization via Early Stopping for Least Squares Regression.

Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova

CoRR, 2024

Discrete error dynamics of mini-batch gradient descent for least squares regression.

Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova

CoRR, 2024

Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization.

Yutong Wang, Rishi Sonthalia, Wei Hu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.

Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp

Nat. Mac. Intell., October, 2023

Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise.

Rishi Sonthalia, Raj Rao Nadakuditi

Trans. Mach. Learn. Res., 2023

Spectral Neural Networks: Approximation Theory and Optimization Landscape.

Chenghui Li, Rishi Sonthalia, Nicolás García Trillos

CoRR, 2023

Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning.

Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia

CoRR, 2023

Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line.

Rishi Sonthalia, Xinyue Li, Bochao Gu

CoRR, 2023

Supermodular Rank: Set Function Decomposition and Optimization.

Rishi Sonthalia, Anna Seigal, Guido Montúfar

CoRR, 2023

2022

Project and Forget: Solving Large-Scale Metric Constrained Problems.

Rishi Sonthalia, Anna C. Gilbert

J. Mach. Learn. Res., 2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.

Mario Krenn, Lorenzo Buffoni, Bruno C. Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, João P. Moutinho, Nima Sanjabi, Rishi Sonthalia, Ngoc Mai Tran, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp

CoRR, 2022

ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results.

Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Umberto Lupo, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane

CoRR, 2022

CubeRep: Learning Relations Between Different Views of Data.

Rishi Sonthalia, Anna C. Gilbert, Matthew Durham

Proceedings of the Topological, 2022

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results.

Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane

Proceedings of the Topological, 2022

Knowledge Graphs of the QAnon Twitter Network.

Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the IEEE International Conference on Big Data, 2022

2021

How can classical multidimensional scaling go wrong?

Rishi Sonthalia, Greg Van Buskirk, Benjamin Raichel, Anna C. Gilbert

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

Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network.

Harlin Lee, Rishi Sonthalia, Jacob G. Foster

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Analysis of COVID-19 Knowledge Graph Construction and Applications.

Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Dual Regularized Optimal Transport.

Rishi Sonthalia, Anna C. Gilbert

CoRR, 2020

Generalized Metric Repair on Graphs.

Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk

Proceedings of the 17th Scandinavian Symposium and Workshops on Algorithm Theory, 2020

Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding.

Rishi Sonthalia, Anna C. Gilbert

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Generalized Metric Repair on Graphs.

Anna C. Gilbert, Rishi Sonthalia

CoRR, 2018

Unrolling Swiss Cheese: Metric repair on manifolds with holes.

Anna C. Gilbert, Rishi Sonthalia

CoRR, 2018

Unsupervised Metric Learning in Presence of Missing Data.

Anna C. Gilbert, Rishi Sonthalia

Proceedings of the 56th Annual Allerton Conference on Communication, 2018