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

Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023
RNRE-NLP at SemEval-2022 Task 4: Patronizing and Condescending Language Detection NAACL 2022
Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection NAACL 2022
Identifiability of sparse causal effects using instrumental variables UAI 2022
Fast rates for noisy interpolation require rethinking the effect of inductive bias ICML 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022
On Linear Model with Markov Signal Priors AISTATS 2022
Generalization for multiclass classification with overparameterized linear models NIPS 2022
Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection SEMEVAL 2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022
Exploiting Equality Constraints in Causal Inference AISTATS 2021
How Important is the Train-Validation Split in Meta-Learning? ICML 2021
An Importance Weighted Feature Selection Stability Measure JMLR 2021
Contrastive learning, multi-view redundancy, and linear models ALT 2021
Provably Strict Generalisation Benefit for Equivariant Models ICML 2021
Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models ICML 2021
RedwoodNLP at SemEval-2021 Task 7: Ensembled Pretrained and Lightweight Models for Humor Detection SEMEVAL 2021
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings SEMEVAL 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NIPS 2021
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks AISTATS 2021
Approximate Data Deletion from Machine Learning Models AISTATS 2021
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits AISTATS 2021
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NIPS 2020