Rishi Sonthalia

Orcid: 0000-0002-0928-392X

According to our database1, Rishi Sonthalia authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization.
CoRR, 2024

2023
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell., October, 2023

Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise.
Trans. Mach. Learn. Res., 2023

Spectral Neural Networks: Approximation Theory and Optimization Landscape.
CoRR, 2023

Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning.
CoRR, 2023

Under-Parameterized Double Descent for Ridge Regularized Least Squares Denoising of Data on a Line.
CoRR, 2023

Supermodular Rank: Set Function Decomposition and Optimization.
CoRR, 2023

2022
Project and Forget: Solving Large-Scale Metric Constrained Problems.
J. Mach. Learn. Res., 2022

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR, 2022

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

CubeRep: Learning Relations Between Different Views of Data.
Proceedings of the Topological, 2022


Knowledge Graphs of the QAnon Twitter Network.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
How can classical multidimensional scaling go wrong?
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Analysis of COVID-19 Knowledge Graph Construction and Applications.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Dual Regularized Optimal Transport.
CoRR, 2020

Generalized Metric Repair on Graphs.
Proceedings of the 17th Scandinavian Symposium and Workshops on Algorithm Theory, 2020

Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding.
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.
CoRR, 2018

Unrolling Swiss Cheese: Metric repair on manifolds with holes.
CoRR, 2018

Unsupervised Metric Learning in Presence of Missing Data.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018


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