linear model

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 Universality in Transfer Learning for Linear Models NeurIPS 2024 H-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 Are Transformers Effective for Time Series Forecasting? AAAI 2023 A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR 2023 Bagging in overparameterized learning: Risk characterization and risk monotonization JMLR 2023 Demographic Parity Constrained Minimax Optimal Regression under Linear Model NeurIPS 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 Precise asymptotic generalization for multiclass classification with overparameterized linear models NeurIPS 2023 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference NeurIPS 2023 The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks COLT 2023 Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables ICML 2023 Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023 A Comparison of Hamming Errors of Representative Variable Selection Methods ICLR 2022 Fast rates for noisy interpolation require rethinking the effect of inductive bias ICML 2022 Generalization for multiclass classification with overparameterized linear models NeurIPS 2022 Identifiability of sparse causal effects using instrumental variables UAI 2022 On Linear Model with Markov Signal Priors AISTATS 2022 Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022 Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection SemEval 2022 Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022 An Importance Weighted Feature Selection Stability Measure JMLR 2021