Raaz Dwivedi - RankMe

48 papers A* 8A 3Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function. CoRR Brian M. Cho, Raaz Dwivedi, Nathan Kallus
2026	J	`jnl`	GOPO: Policy Optimization using Ranked Rewards. CoRR Kyuseong Choi, Dwaipayan Saha, Woojeong Kim, Anish Agarwal, Raaz Dwivedi
2025	J	`jnl`	Adaptively-weighted Nearest Neighbors for Matrix Completion. CoRR Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
2025	J	`jnl`	Instability, Computational Efficiency and Statistical Accuracy. J. Mach. Learn. Res. Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2025	A*	`conf`	Low-Rank Thinning. ICML Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
2025	J	`jnl`	Low-Rank Thinning. CoRR Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
2025	J	`jnl`	N CoRR Caleb Chin, Aashish Khubchandani, Harshvardhan Maskara, Kyuseong Choi, Jacob Feitelberg, Albert Gong, Manit Paul, Tathagata Sadhukhan, Anish Agarwal, Raaz Dwivedi
2025	A	`conf`	On adaptivity and minimax optimality of two-sided nearest neighbors. AISTATS Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
2025	J	`jnl`	TabImpute: Accurate and Fast Zero-Shot Missing-Data Imputation with a Pre-Trained Transformer. CoRR Jacob Feitelberg, Dwaipayan Saha, Kyuseong Choi, Zaid Ahmad, Anish Agarwal, Raaz Dwivedi
2024	A*	`conf`	Debiased Distribution Compression. ICML Lingxiao Li, Raaz Dwivedi, Lester Mackey
2024	J	`jnl`	Debiased Distribution Compression. CoRR Lingxiao Li, Raaz Dwivedi, Lester Mackey
2024	J	`jnl`	Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
2024	J	`jnl`	Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space. CoRR Jacob Feitelberg, Kyuseong Choi, Anish Agarwal, Raaz Dwivedi
2024	J	`jnl`	Doubly Robust Inference in Causal Latent Factor Models. CoRR Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah
2024	J	`jnl`	FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations. CoRR Jane Dwivedi-Yu, Raaz Dwivedi, Timo Schick
2024	J	`jnl`	Kernel Thinning. J. Mach. Learn. Res. Raaz Dwivedi, Lester Mackey
2024	J	`jnl`	Learning Counterfactual Distributions via Kernel Nearest Neighbors. CoRR Kyuseong Choi, Jacob Feitelberg, Anish Agarwal, Raaz Dwivedi
2024	J	`jnl`	On adaptivity and minimax optimality of two-sided nearest neighbors. CoRR Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
2024	A*	`conf`	Supervised Kernel Thinning. NeurIPS Albert Gong, Kyuseong Choi, Raaz Dwivedi
2024	J	`jnl`	Supervised Kernel Thinning. CoRR Albert Gong, Kyuseong Choi, Raaz Dwivedi
2023	A	`conf`	Compress Then Test: Powerful Kernel Testing in Near-linear Time. AISTATS Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
2023	J	`jnl`	Compress Then Test: Powerful Kernel Testing in Near-linear Time. CoRR Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
2023	J	`jnl`	Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag V. Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
2023	J	`jnl`	Revisiting minimum description length complexity in overparameterized models. J. Mach. Learn. Res. Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
2022	J	`jnl`	Counterfactual inference for sequential experimental design. CoRR Raaz Dwivedi, Susan A. Murphy, Devavrat Shah
2022	A*	`conf`	Distribution Compression in Near-Linear Time. ICLR Abhishek Shetty, Raaz Dwivedi, Lester Mackey
2022	J	`jnl`	Doubly robust nearest neighbors in factor models. CoRR Raaz Dwivedi, Katherine Tian, Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy, Devavrat Shah
2022	A*	`conf`	Generalized Kernel Thinning. ICLR Raaz Dwivedi, Lester Mackey
2022	J	`jnl`	On counterfactual inference with unobserved confounding. CoRR Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell
2021	J	`jnl`	Distribution Compression in Near-linear Time. CoRR Abhishek Shetty, Raaz Dwivedi, Lester Mackey
2021	J	`jnl`	Generalized Kernel Thinning. CoRR Raaz Dwivedi, Lester Mackey
2021	A*	`conf`	Kernel Thinning. COLT Raaz Dwivedi, Lester Mackey
2021	J	`jnl`	Kernel Thinning. CoRR Raaz Dwivedi, Lester Mackey
2021	—	`—`	Principled Statistical Approaches For Sampling and Inference in High Dimensions Raaz Dwivedi
2020	J	`jnl`	Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany M. Tang, Yu Wang, Bin Yu
2020	J	`jnl`	Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. J. Mach. Learn. Res. Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2020	J	`jnl`	Instability, Computational Efficiency and Statistical Accuracy. CoRR Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2020	J	`jnl`	Revisiting complexity and the bias-variance tradeoff. CoRR Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
2020	A	`conf`	Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. AISTATS Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2020	J	`jnl`	Stable discovery of interpretable subgroups via calibration in causal studies. CoRR Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu
2019	J	`jnl`	Challenges with EM in application to weakly identifiable mixture models. CoRR Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2019	J	`jnl`	Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. CoRR Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2019	J	`jnl`	Log-concave sampling: Metropolis-Hastings algorithms are fast. J. Mach. Learn. Res. Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2018	J	`jnl`	Fast MCMC Sampling Algorithms on Polytopes. J. Mach. Learn. Res. Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2018	A*	`conf`	Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2018	A*	`conf`	Theoretical guarantees for EM under misspecified Gaussian mixture models. NeurIPS Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan
2017	—	`conf`	Vaidya walk: A sampling algorithm based on the volumetric barrier. Allerton Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2016	J	`jnl`	Gaussian approximations in high dimensional estimation. Syst. Control. Lett. Vivek S. Borkar, Raaz Dwivedi, Neeraja Sahasrabudhe