Dwivedi, Raaz
- Distribution Compression in Near-linear Time
2021/11/15 by Abhishek Shetty, Raaz Dwivedi, Shetty, Abhishek +3 · 1 voice · 3 citations
Mathematics · Computer Science · #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis
- Kernel Thinning
2021/05/12 by Raaz Dwivedi, Lester Mackey, Dwivedi, Raaz +1 · 6 citations
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Singularity, Misspecification, and the Convergence Rate of EM
2018/10/01 by Raaz Dwivedi, Dwivedi, Raaz, Nhat Ho +9 · 5 citations
Computer Science · Mathematics · #62G05 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Primary 62F15 #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST) #secondary 62G20
- Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
2019/02/01 by Raaz Dwivedi, Nhat Ho, Dwivedi, Raaz +9 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Compress Then Test: Powerful Kernel Testing in Near-linear Time
2023/01/14 by Domingo-Enrich, Carles, Dwivedi, Raaz, Mackey, Lester · 4 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Generalized Kernel Thinning
2021/10/04 by Raaz Dwivedi, Dwivedi, Raaz, Lester Mackey +1 · 4 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods
- Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
2019/05/29 by Chen, Yuansi, Dwivedi, Raaz, Wainwright, Martin J. +1 · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Doubly Robust Inference in Causal Latent Factor Models
2024/02/18 by Alberto Abadie, Anish Agarwal, Abadie, Alberto +5 · 3 citations
Computer Science · #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Debiased Distribution Compression
2024/04/18 by Lingxiao Li, Raaz Dwivedi, Li, Lingxiao +3 · 3 citations
Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Computation (stat.CO) #Embedded Systems Design Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
2023/04/11 by Ghosh, Susobhan, Kim, Raphael, Chhabria, Prasidh +5 · 2 citations
#Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Revisiting minimum description length complexity in overparameterized models
2020/06/17 by Raaz Dwivedi, Chandan Singh, Dwivedi, Raaz +5 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference #Statistics Theory (math.ST)
- FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
2024/04/09 by Dwivedi-Yu, Jane, Dwivedi, Raaz, Schick, Timo · 2 citations
#Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Low-Rank Thinning
2025/02/17 by Annabelle Michael Carrell, Carrell, Annabelle Michael, Albert Gong +7 · 6 voices · 1 citation
#stat.ML #cs.LG #math.OC #math.ST #stat.ME
- Counterfactual inference in sequential experiments
2022/02/14 by Dwivedi, Raaz, Tian, Katherine, Tomkins, Sabina +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Doubly robust nearest neighbors in factor models
2022/11/25 by Raaz Dwivedi, Dwivedi, Raaz, Katherine Tian +9 · 1 citation
Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making
- Supervised Kernel Thinning
2024/10/17 by Albert Gong, Kichang Choi, Gong, Albert +3 · 1 citation
Computer Science · Engineering · #Advanced Vision and Imaging #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
2024/10/17 by Feitelberg, Jacob, Choi, Kyuseong, Agarwal, Anish +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Cheap Permutation Testing
2025/02/11 by Carles Domingo-Enrich, Raaz Dwivedi, Domingo-Enrich, Carles +3 · 1 voice · 1 citation
Computer Science · #Software Testing and Debugging Techniques