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part6Machine

New Research on Average treatment effect part6(Machine Learning) | by Monodeep Mukherjee | Feb, 2024

New Research on Average treatment effect part6(Machine Learning) | by Monodeep Mukherjee | Feb, 2024

The Tech Guy February 7, 2024

Detecting Grouped Local Average Treatment Effects and Selecting True Instruments(arXiv) Author : Nicolas Apfel, Helmut Farbmacher, Rebecca...

How Quasiconvexity works part6(Machine Learning) | by Monodeep Mukherjee | Sep, 2023

How Quasiconvexity works part6(Machine Learning) | by Monodeep Mukherjee | Sep, 2023

The Tech Guy September 6, 2023

Portfolio optimization with two quasiconvex risk measures(arXiv) Author : : Çağın Ararat Abstract : We study a...

How Schur Decomposition works part6(Machine Learning) | by Monodeep Mukherjee | Aug, 2023

How Schur Decomposition works part6(Machine Learning) | by Monodeep Mukherjee | Aug, 2023

The Tech Guy August 24, 2023

The Generalized Schur Decomposition and the rank-R set of real I×J×2 arrays (arXiv) Author : Alwin Stegeman...

New Updates on Online Convex Optimization part6(Machine Learning) | by Monodeep Mukherjee | Aug, 2023

New Updates on Online Convex Optimization part6(Machine Learning) | by Monodeep Mukherjee | Aug, 2023

The Tech Guy August 23, 2023

Proximal Algorithms for Smoothed Online Convex Optimization with Predictions(arXiv) Author : Spandan Senapati, Ashwin Shenai, Ketan Rajawat...

Updates on Video Object Segmentation part6(Machine Learning + Computervision) | by Monodeep Mukherjee | Jul, 2023

Updates on Video Object Segmentation part6(Machine Learning + Computervision) | by Monodeep Mukherjee | Jul, 2023

The Tech Guy July 26, 2023

READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation(arXiv) Author : Stéphane Vujasinović,...

Working with Heterogeneous Clients part6(Machine Learning) | by Monodeep Mukherjee | Jul, 2023

Working with Heterogeneous Clients part6(Machine Learning) | by Monodeep Mukherjee | Jul, 2023

The Tech Guy July 8, 2023

HeteroFL: Computation and Communication Efficient Federated Learning for HeterogeneousClients(arXiv) Author : Enmao Diao, Jie Ding, Vahid Tarokh...

Use cases of Benign Overfitting part6(Machine Learning) | by Monodeep Mukherjee | Jul, 2023

Use cases of Benign Overfitting part6(Machine Learning) | by Monodeep Mukherjee | Jul, 2023

The Tech Guy July 8, 2023

Benign Overfitting in Time Series Linear Model with Over-Parameterization(arXiv) Author : Shogo Nakakita, Masaaki Imaizumi Abstract :...

Best Research on Genetic Algorithms in 2023 part6(Machine Learning) | by Monodeep Mukherjee | May, 2023

Best Research on Genetic Algorithms in 2023 part6(Machine Learning) | by Monodeep Mukherjee | May, 2023

The Tech Guy May 23, 2023

Photo by THAVIS 3D on Unsplash Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using...

Working with Inductive Bias part6(Machine Learning) | by Monodeep Mukherjee | May, 2023

Working with Inductive Bias part6(Machine Learning) | by Monodeep Mukherjee | May, 2023

The Tech Guy May 15, 2023

Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control(arXiv) Author :...