ensemble – Andrew Fairless, Ph.D.

What I Read: Random Forests, Estimation of Information-Theoretic Quantities

By Andrew Fairless on February 27, 2024January 25, 2024

https://arxiv.org/abs/1907.00325v7 Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic QuantitiesRonan Perry, Ronak Mehta, Richard Guo, Eva Yezerets, Jesús Arroyo, Mike Powell, Hayden Helm, Cencheng Shen, Joshua T. Vogelstein “WeContinue readingWhat I Read: Random Forests, Estimation of Information-Theoretic Quantities

What I Read: AI System Beats Chess Puzzles

By Andrew Fairless on December 12, 2023November 20, 2023

https://www.quantamagazine.org/google-deepmind-trains-artificial-brainstorming-in-chess-ai-20231115/ AI System Beats Chess Puzzles With ‘Artificial Brainstorming’Stephen OrnesNovember 15, 2023 “By bringing together disparate approaches, machines can reach a new level of creative problem-solving.”

What I Read: GPT-4, 8 Models in One

By Andrew Fairless on October 12, 2023September 4, 2023

https://www.kdnuggets.com/2023/08/gpt4-8-models-one-secret.html GPT-4: 8 Models in One; The Secret is OutBy Dr. Mandar Karhade, MD. PhD., Sr. Director Data Strategy and Advanced Analytics at Avalere HealthAugust 24, 2023 “The Mixture ofContinue readingWhat I Read: GPT-4, 8 Models in One

What I Read: Competitive Machine Learning

By Andrew Fairless on May 9, 2023March 30, 2023

https://mlcontests.com/state-of-competitive-machine-learning-2022/ The State of Competitive Machine Learning2022 Edition “We summarise the state of the competitive landscape and analyse the 200+ competitions that took place in 2022. Plus a deep diveContinue readingWhat I Read: Competitive Machine Learning

What I Read: Predict Distributions

By Andrew Fairless on April 17, 2023March 30, 2023

https://towardsdatascience.com/a-new-way-to-predict-probability-distributions-e7258349f464?gi=3201d118e909 A New Way to Predict Probability DistributionsExploring multi-quantile regression with CatboostHarrison HoffmanFeb 14 “Until recently, the main disadvantage of quantile regression was that one model had to be trainedContinue readingWhat I Read: Predict Distributions

What I Read: Model Ensembles Are Faster

By Andrew Fairless on December 29, 2021November 16, 2021

https://ai.googleblog.com/2021/11/model-ensembles-are-faster-than-you.html Model Ensembles Are Faster Than You ThinkWednesday, November 10, 2021Posted by Xiaofang Wang, Intern and Yair Alon (prev. Movshovitz-Attias), Software Engineer, Google Research“We demonstrate that ensembles of even aContinue readingWhat I Read: Model Ensembles Are Faster

What I Read: Learning Neural Network Subspaces

By Andrew Fairless on September 20, 2021September 4, 2021

https://arxiv.org/abs/2102.10472 Learning Neural Network SubspacesMitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari “These neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance ofContinue readingWhat I Read: Learning Neural Network Subspaces

What I Read: XGBoost, Order Does Matter

By Andrew Fairless on September 13, 2021August 20, 2021

https://towardsdatascience.com/xgboost-order-does-matter-60d8d0d5aa71?gi=d051128bfa6b XGBoost: Order Does MatterWhat impact does the order of the features have on XGBoost models, and how can you use feature importance to identify related features in your data?BityaContinue readingWhat I Read: XGBoost, Order Does Matter

What I Read: Identifying Document Types

By Andrew Fairless on August 11, 2021July 22, 2021

https://tech.scribd.com/blog/2021/identifying-document-types.html Identifying Document Types at ScribdJonathan RamkissoonJuly 12, 2021 “User-uploaded documents have been a core component of Scribd’s business from the very beginning, understanding what is actually in the documentContinue readingWhat I Read: Identifying Document Types

What I Read: Parallelizing neural networks, GPU, JAX

By Andrew Fairless on July 28, 2021July 12, 2021

https://willwhitney.com/parallel-training-jax.html Will WhitneyParallelizing neural networks on one GPU with JAX How you can get a 100x speedup for training small neural networks by making the most of your accelerator.“Most neuralContinue readingWhat I Read: Parallelizing neural networks, GPU, JAX

Tag: ensemble