Scholar
Gautam Chandrasekaran
Google Scholar ID: -CNU0tAAAAAJ
PhD Student, University of Texas at Austin
Theoretical Computer Science
Machine Learning
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Citations & Impact
All-time
Citations
22
H-index
4
i10-index
0
Publications
7
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0
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Publications
7 items
Learning $\mathsf{AC}^0$ Under Graphical Models
2026
Cited
0
A Fully Polynomial-Time Algorithm for Robustly Learning Halfspaces over the Hypercube
2025
Cited
0
Sparse Linear Regression is Easy on Random Supports
2025
Cited
0
Learning Juntas under Markov Random Fields
2025
Cited
0
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
2025
Cited
0
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
2025
Cited
0
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Annual Conference Computational Learning Theory · 2024
Cited
1
Resume (English only)
Academic Achievements
Paper 'Learning Juntas under Markov Random Fields' accepted at NeurIPS 2025 (to appear)
Paper 'Learning the Sherrington-Kirkpatrick Model Even at Low Temperature' accepted at STOC 2025
Paper 'Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees' accepted at ICLR 2025
Paper 'Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random' accepted at NeurIPS 2024 (Spotlight)
Paper 'Efficient Discrepancy Testing for Learning with Distribution Shift' accepted at NeurIPS 2024
Paper 'Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension' accepted at COLT 2024, awarded Best Paper Award
Paper 'Learning in online MDPs: is there a price for handling the communicating case?' accepted at UAI 2023
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Co-authors: 0 (list not available)
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