Rajat Vadiraj Dwaraknath

According to our database, Rajat Vadiraj Dwaraknath authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores.

Elliot L. Epstein, Rajat Vadiraj Dwaraknath, John Winnicki

CoRR, February, 2026

Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking.

Elliot L. Epstein, Rajat Vadiraj Dwaraknath, John Winnicki, Thanawat Sornwanee

CoRR, February, 2026

FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs.

Rajat Vadiraj Dwaraknath, Sungyoon Kim, Mert Pilanci

CoRR, February, 2026

2025

Sampling on Metric Graphs.

Rajat Vadiraj Dwaraknath, Lexing Ying

CoRR, December, 2025

LLMs are Overconfident: Evaluating Confidence Interval Calibration with FermiEval.

Elliot L. Epstein, John Winnicki, Thanawat Sornwanee, Rajat Vadiraj Dwaraknath

CoRR, October, 2025

Variational inference and density estimation with non-negative tensor train.

Xun Tang, Rajat Vadiraj Dwaraknath, Lexing Ying

CoRR, July, 2025

MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search.

Sungyoon Kim, Rajat Vadiraj Dwaraknath, Longling Geng, Mert Pilanci

CoRR, July, 2025

BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs.

Jerry W. Liu, Yasa Baig, Denise Hui Jean Lee, Rajat Vadiraj Dwaraknath, Atri Rudra, Christopher Ré

CoRR, June, 2025

Score-Debiased Kernel Density Estimation.

Elliot L. Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Weihong Liu

CoRR, April, 2025

SD-KDE: Score-Debiased Kernel Density Estimation.

Elliot L. Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry W. Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Towards Optimal Effective Resistance Estimation.

Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs.

Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners.

Varun Sundar, Rajat Vadiraj Dwaraknath

CoRR, 2021