Search Results - Ghosal, Promit

On the Convergence Rate of Sinkhorn's Algorithm by Ghosal, Promit, Nutz, Marcel

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Universality of Persistence of Random Polynomials by Ghosal, Promit, Mukherjee, Sumit

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Entropic Selection Principle for Monge's Optimal Transport by Aryan, Shrey, Ghosal, Promit

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Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression by Agrawalla, Bhavya, Balasubramanian, Krishnakumar, Ghosal, Promit

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High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance by Balasubramanian, Krishnakumar, Ghosal, Promit, He, Ye

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Proof of Zamolodchikov conjecture for semi-classical conformal blocks on the torus by Desiraju, Harini, Ghosal, Promit, Prokhorov, Andrei

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Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent by Banerjee, Sayan, Balasubramanian, Krishnakumar, Ghosal, Promit

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LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery by Hiremath, Sujai, Ghosal, Promit, Gan, Kyra

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Distribution-free Measures of Association based on Optimal Transport by Deb, Nabarun, Ghosal, Promit, Sen, Bodhisattva

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BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions by Yeon, Kingsley, Ghosal, Promit, Anitescu, Mihai

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Statistical Inference for Linear Functionals of Online Least-squares SGD when $t \gtrsim d^{1+δ}$ by Agrawalla, Bhavya, Balasubramanian, Krishnakumar, Ghosal, Promit

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The stochastic six vertex model and discrete orthogonal polynomial ensembles by Ghosal, Promit, Silva, Guilherme L. F.

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Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces by Yu, Shixing, Ghosal, Promit, Gan, Kyra

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Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery by Yeon, Kingsley, Liu, Xuefeng, Ghosal, Promit

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Probabilistic conformal blocks for Liouville CFT on the torus by Ghosal, Promit, Remy, Guillaume, Sun, Xin, Sun, Yi

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When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery by Meier, Dominik, Hiremath, Sujai, Ghosal, Promit, Gan, Kyra

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Finite-Particle Rates for Regularized Stein Variational Gradient Descent by He, Ye, Balasubramanian, Krishnakumar, Banerjee, Sayan, Ghosal, Promit

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Clustering by Denoising: Latent plug-and-play diffusion for single-cell data by Meier, Dominik, Yu, Shixing, Nandy, Sagnik, Ghosal, Promit, Gan, Kyra

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How Private is Your Attention? Bridging Privacy with In-Context Learning by Bonnerjee, Soham, Wei, Zhen, Yeon, Asch, Anna, Nandy, Sagnik, Ghosal, Promit

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Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models by Hiremath, Sujai, Maasch, Jacqueline R. M. A., Gao, Mengxiao, Ghosal, Promit, Gan, Kyra

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