All Papers
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Averaged Annealed Markov Chains Achieve the Algorithmic Threshold for Tensor PCA, Part II: Langevin Dynamics with Tselil Schramm PreprintPaper
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Averaged Annealed Markov Chains Achieve the Algorithmic Threshold for Tensor PCA, Part I: Glauber Dynamics with Tselil Schramm PreprintPaper
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Parallel Sampling from the Ising p-Spin Model with Nima Anari and Alireza Haqi RANDOM'26Paper
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Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation with Hengyuan Hu, Dorsa Sadigh and Nima Anari ICML'25Paper
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Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD with Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala and Prateek Varshney NeurIPS'24Paper
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Provably Fast Finite-Particle Variants of SVGD via Virtual Particle Stochastic Approximation with Dheeraj Nagaraj NeurIPS'23SpotlightPaper
Oral Presentation at OTML Workshop, NeurIPS 2023
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Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms with Dheeraj Nagaraj and Anant Raj COLT'23Paper
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Near Optimal Heteroscedastic Regression with Symbiotic Learning with Dheeraj Baby, Dheeraj Nagaraj and Praneeth Netrapalli COLT'23Paper
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Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization with Bernhard Schölkopf and Michael Muehlebach NeurIPS'22Paper
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NeurInt - Learning Interpolation by Neural ODEs with Avinandan Bose, Yatin Dandi and Piyush Rai NeurIPS'21 WorkshopSpotlightPaper
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TorchGAN: A Flexible Framework for GAN Training and Evaluation with Avik Pal JOSS'21Paper
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Jointly Trained Image and Video Generation using Residual Vectors with Yatin Dandi, Soumye Singhal, Vinay P. Namboodiri and Piyush Rai WACV'20Paper