Jerry Li

Identifiers

No identifiers captured yet.

Papers (30)

1. Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models) cs.LG · 2026 · author #3
2. Aliasing-Free Neural Audio Synthesis cs.SD · 2025 · author #4
3. Agnostic Product Mixed State Tomography via Robust Statistics quant-ph · 2025 · author #4
4. Lower Bounds for Learning Hamiltonians from Time Evolution quant-ph · 2025 · author #2
5. BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations cs.CV · 2025 · author #2
6. Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection cs.DS · 2019 · author #3
7. How Hard Is Robust Mean Estimation? cs.CC · 2019 · author #2
8. On Mean Estimation for General Norms with Statistical Queries cs.DS · 2019 · author #1
9. Spectral Signatures in Backdoor Attacks cs.LG · 2018 · author #2
10. Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs cs.CV · 2018 · author #1
11. Privately Learning High-Dimensional Distributions cs.DS · 2018 · author #2
12. Byzantine Stochastic Gradient Descent cs.LG · 2018 · author #3
13. Sever: A Robust Meta-Algorithm for Stochastic Optimization cs.LG · 2018 · author #4
14. Fast and Sample Near-Optimal Algorithms for Learning Multidimensional Histograms cs.LG · 2018 · author #2
15. Mixture Models, Robustness, and Sum of Squares Proofs cs.DS · 2017 · author #2
16. On the Limitations of First-Order Approximation in GAN Dynamics cs.LG · 2017 · author #1
17. The Power of Choice in Priority Scheduling cs.DS · 2017 · author #3
18. Robustly Learning a Gaussian: Getting Optimal Error, Efficiently cs.DS · 2017 · author #4
19. Being Robust (in High Dimensions) Can Be Practical cs.LG · 2017 · author #4
20. Robust Sparse Estimation Tasks in High Dimensions cs.LG · 2017 · author #1
21. The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning cs.LG · 2016 · author #2
22. QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding cs.LG · 2016 · author #3
23. Fast Algorithms for Segmented Regression cs.LG · 2016 · author #3
24. Robust Estimators in High Dimensions without the Computational Intractability cs.DS · 2016 · author #4
25. A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k cs.DS · 2015 · author #1
26. Sample-Optimal Density Estimation in Nearly-Linear Time cs.DS · 2015 · author #3
27. On the Importance of Registers for Computability cs.DC · 2014 · author #3
28. Replacing Mark Bits with Randomness in Fibonacci Heaps cs.DS · 2014 · author #1
29. Model Counting of Query Expressions: Limitations of Propositional Methods cs.DB · 2013 · author #2
30. Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases cs.DB · 2013 · author #2

Mentions

No mention provenance yet.

Frequent Coauthors

• Ilias Diakonikolas 8 shared papers
• Gautam Kamath 5 shared papers
• Ludwig Schmidt 5 shared papers
• Alistair Stewart 4 shared papers
• Dan Alistarh 4 shared papers
• Ankur Moitra 3 shared papers
• Daniel M. Kane 3 shared papers
• Samuel B. Hopkins 3 shared papers
• Aleksander Madry 2 shared papers
• Daniel Kane 2 shared papers
• Dan Suciu 2 shared papers
• Jayadev Acharya 2 shared papers
• John Peebles 2 shared papers
• Paul Beame 2 shared papers
• Sudeepa Roy 2 shared papers
• Aleksandar Nikolov 1 shared papers
• Alvan Arulandu 1 shared papers
• Brandon Tran 1 shared papers
• Ce Zhang 1 shared papers
• Chaoren Wang 1 shared papers