Rishi Sonthalia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Computational Geometry

Link Prediction

Top Venues

Trans. Mach. Learn. Res.

Publications

Yutong Wang, Rishi Sonthalia, Wei Hu
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization. AISTATS (2024)
Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova
Discrete error dynamics of mini-batch gradient descent for least squares regression. CoRR (2024)
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers. Trans. Mach. Learn. Res. 2024 (2024)
Yutong Wang, Rishi Sonthalia, Wei Hu
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization. CoRR (2024)
Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova
On Regularization via Early Stopping for Least Squares Regression. CoRR (2024)
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
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5 (11) (2023)
Rishi Sonthalia, Xinyue Li, Bochao Gu
Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line. CoRR (2023)
Chenghui Li, Rishi Sonthalia, Nicolás García Trillos
Spectral Neural Networks: Approximation Theory and Optimization Landscape. CoRR (2023)
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning. CoRR (2023)
Rishi Sonthalia, Anna Seigal, Guido Montúfar
Supermodular Rank: Set Function Decomposition and Optimization. CoRR (2023)
Rishi Sonthalia, Raj Rao Nadakuditi
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise. Trans. Mach. Learn. Res. 2023 (2023)
Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham
Knowledge Graphs of the QAnon Twitter Network. Big Data (2022)
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 Klindt, Erik Hermansen, Melvin Vaupel, Benjamin Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava Yazdani, Christoph von Tycowicz, Nina Miolane
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. CoRR (2022)
Mario Krenn, Lorenzo Buffoni, Bruno 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
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR (2022)
Rishi Sonthalia, Anna C. Gilbert, Matthew Durham
CubeRep: Learning Relations Between Different Views of Data. TAG-ML (2022)
Rishi Sonthalia, Anna C. Gilbert
Project and Forget: Solving Large-Scale Metric Constrained Problems. J. Mach. Learn. Res. 23 (2022)
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
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. TAG-ML (2022)
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
An Analysis of COVID-19 Knowledge Graph Construction and Applications. CoRR (2021)
Rishi Sonthalia, Greg Van Buskirk, Benjamin Raichel, Anna C. Gilbert
How can classical multidimensional scaling go wrong? NeurIPS (2021)
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham
An Analysis of COVID-19 Knowledge Graph Construction and Applications. IEEE BigData (2021)
Rishi Sonthalia, Gregory Van Buskirk, Benjamin Raichel, Anna C. Gilbert
How can classical multidimensional scaling go wrong? CoRR (2021)
Harlin Lee, Rishi Sonthalia, Jacob G. Foster
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. IEEE BigData (2021)
Rishi Sonthalia, Anna C. Gilbert
Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding. CoRR (2020)
Rishi Sonthalia, Anna C. Gilbert
Project and Forget: Solving Large-Scale Metric Constrained Problems. CoRR (2020)
Rishi Sonthalia, Anna C. Gilbert
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding. NeurIPS (2020)
Rishi Sonthalia, Anna C. Gilbert
Dual Regularized Optimal Transport. CoRR (2020)
Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk
Generalized Metric Repair on Graphs. SWAT (2020)
Chenglin Fan, Anna C. Gilbert, Benjamin Raichel, Rishi Sonthalia, Gregory Van Buskirk
Generalized Metric Repair on Graphs. CoRR (2019)
Anna C. Gilbert, Rishi Sonthalia
Unsupervised Metric Learning in Presence of Missing Data. Allerton (2018)
Anna C. Gilbert, Rishi Sonthalia
Unrolling Swiss Cheese: Metric repair on manifolds with holes. CoRR (2018)
Anna C. Gilbert, Rishi Sonthalia
Generalized Metric Repair on Graphs. CoRR (2018)