conftrace_

structural risk minimization

14 papers

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Also known as

SRM

Co-occurring keywords

empirical risk minimization (352) support vector machine (978) generalization guarantee (53) generalization ability (82) rademacher complexity (109) log loss (13) adversarial setting (45) log-loss (2) multiclass learning (8) hypothesis class (28)

Papers

EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models CVPR 2025
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024
Regularization and Optimal Multiclass Learning COLT 2024
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning NIPS 2023
Spike Count Maximization for Neuromorphic Vision Recognition IJCAI 2023
Regularized Gradient Boosting NIPS 2019
Best of many worlds: Robust model selection for online supervised learning AISTATS 2019
Discriminative State Space Models NIPS 2017
Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015
Support vector machines with indefinite kernels ACML 2014
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Machine Learning with Data Dependent Hypothesis Classes JMLR 2002
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002