#estimators — Public Fediverse posts

'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.

http://jmlr.org/papers/v26/24-0829.html

#estimation #langevin #estimators

'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.

http://jmlr.org/papers/v26/24-0829.html

#estimation #langevin #estimators

'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.

http://jmlr.org/papers/v26/24-0829.html

#estimation #langevin #estimators

'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.

http://jmlr.org/papers/v26/24-0829.html

#estimation #langevin #estimators

'Sampling and Estimation on Manifolds using the Langevin Diffusion', by Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov.

http://jmlr.org/papers/v26/24-0829.html

#estimation #langevin #estimators

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

http://jmlr.org/papers/v26/22-0300.html

#estimation #estimators #algorithms

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

http://jmlr.org/papers/v26/22-0300.html

#estimation #estimators #algorithms

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

http://jmlr.org/papers/v26/22-0300.html

#estimation #estimators #algorithms

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

http://jmlr.org/papers/v26/22-0300.html

#estimation #estimators #algorithms

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

http://jmlr.org/papers/v26/22-0300.html

#estimation #estimators #algorithms

'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.

http://jmlr.org/papers/v26/24-0060.html

#estimation #estimators #estimator

'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.

http://jmlr.org/papers/v26/24-0060.html

#estimation #estimators #estimator

'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.

http://jmlr.org/papers/v26/24-0060.html

#estimation #estimators #estimator

'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.

http://jmlr.org/papers/v26/24-0060.html

#estimation #estimators #estimator

'Error estimation and adaptive tuning for unregularized robust M-estimator', by Pierre C. Bellec, Takuya Koriyama.

http://jmlr.org/papers/v26/24-0060.html

#estimation #estimators #estimator

'Locally Private Causal Inference for Randomized Experiments', by Yuki Ohnishi, Jordan Awan.

http://jmlr.org/papers/v26/23-1401.html

#privacy #private #estimators

'Locally Private Causal Inference for Randomized Experiments', by Yuki Ohnishi, Jordan Awan.

http://jmlr.org/papers/v26/23-1401.html

#privacy #private #estimators

'Locally Private Causal Inference for Randomized Experiments', by Yuki Ohnishi, Jordan Awan.

http://jmlr.org/papers/v26/23-1401.html

#privacy #private #estimators

'Locally Private Causal Inference for Randomized Experiments', by Yuki Ohnishi, Jordan Awan.

http://jmlr.org/papers/v26/23-1401.html

#privacy #private #estimators

'Locally Private Causal Inference for Randomized Experiments', by Yuki Ohnishi, Jordan Awan.

http://jmlr.org/papers/v26/23-1401.html

#privacy #private #estimators

'Learning with a linear loss function: excess risk and estimation bound..."', by Guillaume Lecué, Lucie Neirac.

http://jmlr.org/papers/v25/23-1405.html

#adversarial #estimators #regularized

'Learning with a linear loss function: excess risk and estimation bound..."', by Guillaume Lecué, Lucie Neirac.

http://jmlr.org/papers/v25/23-1405.html

#adversarial #estimators #regularized

'Learning with a linear loss function: excess risk and estimation bound..."', by Guillaume Lecué, Lucie Neirac.

http://jmlr.org/papers/v25/23-1405.html

#adversarial #estimators #regularized

'Learning with a linear loss function: excess risk and estimation bound..."', by Guillaume Lecué, Lucie Neirac.

http://jmlr.org/papers/v25/23-1405.html

#adversarial #estimators #regularized

'Learning with a linear loss function: excess risk and estimation bound..."', by Guillaume Lecué, Lucie Neirac.

http://jmlr.org/papers/v25/23-1405.html

#adversarial #estimators #regularized

'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.

http://jmlr.org/papers/v25/23-0063.html

#rademacher #estimators #estimator

'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.

http://jmlr.org/papers/v25/23-0063.html

#rademacher #estimators #estimator

'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.

http://jmlr.org/papers/v25/23-0063.html

#rademacher #estimators #estimator

'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.

http://jmlr.org/papers/v25/23-0063.html

#rademacher #estimators #estimator

'Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition', by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.

http://jmlr.org/papers/v25/23-0063.html

#rademacher #estimators #estimator

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

'Inference on High-dimensional Single-index Models with Streaming Data', by Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong.

http://jmlr.org/papers/v25/22-1124.html

#lasso #semiparametric #estimators

'Inference on High-dimensional Single-index Models with Streaming Data', by Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong.

http://jmlr.org/papers/v25/22-1124.html

#lasso #semiparametric #estimators

'Inference on High-dimensional Single-index Models with Streaming Data', by Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong.

http://jmlr.org/papers/v25/22-1124.html

#lasso #semiparametric #estimators

'Inference on High-dimensional Single-index Models with Streaming Data', by Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong.

http://jmlr.org/papers/v25/22-1124.html

#lasso #semiparametric #estimators

'Inference on High-dimensional Single-index Models with Streaming Data', by Dongxiao Han, Jinhan Xie, Jin Liu, Liuquan Sun, Jian Huang, Bei Jiang, Linglong Kong.

http://jmlr.org/papers/v25/22-1124.html

#lasso #semiparametric #estimators

'Stability and L2-penalty in Model Averaging', by Hengkun Zhu, Guohua Zou.

http://jmlr.org/papers/v25/23-0853.html

#averaging #estimators #models

'Stability and L2-penalty in Model Averaging', by Hengkun Zhu, Guohua Zou.

http://jmlr.org/papers/v25/23-0853.html

#averaging #estimators #models

'Stability and L2-penalty in Model Averaging', by Hengkun Zhu, Guohua Zou.

http://jmlr.org/papers/v25/23-0853.html

#averaging #estimators #models

'Stability and L2-penalty in Model Averaging', by Hengkun Zhu, Guohua Zou.

http://jmlr.org/papers/v25/23-0853.html

#averaging #estimators #models

'Stability and L2-penalty in Model Averaging', by Hengkun Zhu, Guohua Zou.

http://jmlr.org/papers/v25/23-0853.html

#averaging #estimators #models

'Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks', by Yunfei Yang, Ding-Xuan Zhou.

http://jmlr.org/papers/v25/23-0918.html

#nonparametric #estimators #minimax

'Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks', by Yunfei Yang, Ding-Xuan Zhou.

http://jmlr.org/papers/v25/23-0918.html

#nonparametric #estimators #minimax

'Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks', by Yunfei Yang, Ding-Xuan Zhou.

http://jmlr.org/papers/v25/23-0918.html

#nonparametric #estimators #minimax

'Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks', by Yunfei Yang, Ding-Xuan Zhou.

http://jmlr.org/papers/v25/23-0918.html

#nonparametric #estimators #minimax

'Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks', by Yunfei Yang, Ding-Xuan Zhou.

http://jmlr.org/papers/v25/23-0918.html

#nonparametric #estimators #minimax