logistic regression

382 papers

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Also known as

LRC LOGREG LR

Co-occurring keywords

support vector machine (976) text classification (6776) convex optimization (1320) random forest (325) naive baye (56) linear regression (281) binary classification (674) stochastic optimization (1060) ensemble learning (1271) gradient descent (1143)

Papers

Scalable Learning of Item Response Theory Models AISTATS 2024

Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024

Brandeis at VarDial 2024 DSL-ML Shared Task: Multilingual Models, Simple Baselines and Data Augmentation NAACL 2024

Sövereign at The Perspective Argument Retrieval Shared Task 2024: Using LLMs with Argument Mining ACL 2024

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024

The Space Complexity of Approximating Logistic Loss NIPS 2024

Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024

VerbaNexAI Lab at SemEval-2024 Task 3: Deciphering emotional causality in conversations using multimodal analysis approach NAACL 2024

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024

Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need SEMEVAL 2024

Cheap Ways of Extracting Clinical Markers from Texts EACL 2024

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024

Logistic Regression Under Network Dependence JMLR 2024

CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text SEMEVAL 2024

DLRG-DravidianLangTech@EACL2024 : Combating Hate Speech in Telugu Code-mixed Text on Social Media EACL 2024

Are Logistic Models Really Interpretable? IJCAI 2024

Smoothly Giving up: Robustness for Simple Models AISTATS 2023

Bayesian Variable Selection in a Million Dimensions AISTATS 2023

Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models SEMEVAL 2023

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals MIDL 2023

Margin-based sampling in high dimensions: When being active is less efficient than staying passive ICML 2023

Online Platt Scaling with Calibeating ICML 2023

Generalization error bounds for multiclass sparse linear classifiers JMLR 2023

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network ICML 2023

Understanding Self-Distillation in the Presence of Label Noise ICML 2023