Raaz Dwivedi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Experimental Design

Metropolis Hastings

Gaussian Mixture

Top Venues

J. Mach. Learn. Res.

Publications

Lingxiao Li, Raaz Dwivedi, Lester Mackey
Debiased Distribution Compression. CoRR (2024)
Jane Dwivedi-Yu, Raaz Dwivedi, Timo Schick
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations. CoRR (2024)
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. 113 (7) (2024)
Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah
Doubly Robust Inference in Causal Latent Factor Models. CoRR (2024)
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Compress Then Test: Powerful Kernel Testing in Near-linear Time. CoRR (2023)
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasjna, Peng Liao, Kelly W. Zhang, Susan Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR (2023)
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Compress Then Test: Powerful Kernel Testing in Near-linear Time. AISTATS (2023)
Raaz Dwivedi, Lester Mackey
Generalized Kernel Thinning. ICLR (2022)
Raaz Dwivedi, Susan Murphy, Devavrat Shah
Counterfactual inference for sequential experimental design. CoRR (2022)
Abhishek Shetty, Raaz Dwivedi, Lester Mackey
Distribution Compression in Near-Linear Time. ICLR (2022)
Raaz Dwivedi, Katherine Tian, Sabina Tomkins, Predrag V. Klasnja, Susan Murphy, Devavrat Shah
Doubly robust nearest neighbors in factor models. CoRR (2022)
Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell
On counterfactual inference with unobserved confounding. CoRR (2022)
Raaz Dwivedi, Lester Mackey
Generalized Kernel Thinning. CoRR (2021)
Abhishek Shetty, Raaz Dwivedi, Lester Mackey
Distribution Compression in Near-linear Time. CoRR (2021)
Raaz Dwivedi, Lester Mackey
Kernel Thinning. COLT (2021)
Raaz Dwivedi, Lester Mackey
Kernel Thinning. CoRR (2021)
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR (2020)
Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
Revisiting complexity and the bias-variance tradeoff. CoRR (2020)
Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu
Stable discovery of interpretable subgroups via calibration in causal studies. CoRR (2020)
Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Instability, Computational Efficiency and Statistical Accuracy. CoRR (2020)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. J. Mach. Learn. Res. 21 (2020)
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. AISTATS (2020)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. CoRR (2019)
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
Log-concave sampling: Metropolis-Hastings algorithms are fast. J. Mach. Learn. Res. 20 (2019)
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Challenges with EM in application to weakly identifiable mixture models. CoRR (2019)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast MCMC Sampling Algorithms on Polytopes. J. Mach. Learn. Res. 19 (2018)
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan
Theoretical guarantees for EM under misspecified Gaussian mixture models. NeurIPS (2018)
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT (2018)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Vaidya walk: A sampling algorithm based on the volumetric barrier. Allerton (2017)
Vivek S. Borkar, Raaz Dwivedi, Neeraja Sahasrabudhe
Gaussian approximations in high dimensional estimation. Syst. Control. Lett. 92 (2016)