Dwivedi, Raaz

19 publications

JMLR 2025 Instability, Computational Efficiency and Statistical Accuracy Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu

ICML 2025 Low-Rank Thinning Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey

AISTATS 2025 On Adaptivity and Minimax Optimality of Two-Sided Nearest Neighbors Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi

ICML 2024 Debiased Distribution Compression Lingxiao Li, Raaz Dwivedi, Lester Mackey

MLJ 2024 Did We Personalize? Assessing Personalization by an Online Reinforcement Learning Algorithm Using Resampling Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy

JMLR 2024 Kernel Thinning Raaz Dwivedi, Lester Mackey

NeurIPS 2024 Supervised Kernel Thinning Albert Gong, Kyuseong Choi, Raaz Dwivedi

AISTATS 2023 Compress Then Test: Powerful Kernel Testing in Near-Linear Time Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey

JMLR 2023 Revisiting Minimum Description Length Complexity in Overparameterized Models Raaz Dwivedi, Chandan Singh, Bin Yu, Martin Wainwright

ICLR 2022 Distribution Compression in Near-Linear Time Abhishek Shetty, Raaz Dwivedi, Lester Mackey

ICLR 2022 Generalized Kernel Thinning Raaz Dwivedi, Lester Mackey

NeurIPSW 2022 On Counterfactual Inference with Unobserved Confounding Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory Wornell

COLT 2021 Kernel Thinning Raaz Dwivedi, Lester Mackey

JMLR 2020 Fast Mixing of Metropolized Hamiltonian Monte Carlo: Benefits of Multi-Step Gradients Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

AISTATS 2020 Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin Wainwright, Michael Jordan, Bin Yu

JMLR 2019 Log-Concave Sampling: Metropolis-Hastings Algorithms Are Fast Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu

JMLR 2018 Fast MCMC Sampling Algorithms on Polytopes Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

COLT 2018 Log-Concave Sampling: Metropolis-Hastings Algorithms Are Fast! Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu

NeurIPS 2018 Theoretical Guarantees for EM Under Misspecified Gaussian Mixture Models Raaz Dwivedi, Nhật Hồ, Koulik Khamaru, Martin J. Wainwright, Michael I Jordan