conftrace_

linear model

94 papers

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Co-occurring keywords

regret bound (1926) feature selection (649) tree-based model (33) neural network (6616) generalization bound (652) causal inference (1630) contextual bandit (381) causal discovery (460) online learning (1777) implicit bia (107)

Papers

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract) AAAI 2026
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026
Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization ALT 2026
Probabilistic Explanations for Linear Models AAAI 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025
Implicit Optimization Bias of Next-token Prediction in Linear Models NIPS 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024
The Price of Implicit Bias in Adversarially Robust Generalization NIPS 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024
Interpretable Mesomorphic Networks for Tabular Data NIPS 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024
Universality in Transfer Learning for Linear Models NIPS 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions NIPS 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NIPS 2024
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
Bagging in overparameterized learning: Risk characterization and risk monotonization JMLR 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
Least Squares Model Averaging for Distributed Data JMLR 2023
Are Transformers Effective for Time Series Forecasting? AAAI 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference NIPS 2023
Precise asymptotic generalization for multiclass classification with overparameterized linear models NIPS 2023