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variance analysis

31 papers

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Co-occurring keywords

regret bound (1926) neural network optimization (1293) word embedding (1764) activation function (133) language model (4599) weight initialization (50) stochastic gradient descent (1091) learning theory (519) representation learning (6206) linguistic sequence (1)

Papers

Norm of Mean Contextualized Embeddings Determines their Variance COLING 2025
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025
Improving Multimodal Learning via Imbalanced Learning ICCV 2025
VI^3NR: Variance Informed Initialization for Implicit Neural Representations CVPR 2025
An Analysis of the Variance of Diffusion-based Speech Enhancement INTERSPEECH 2024
Asynchronous Randomized Trace Estimation AISTATS 2024
Private Language Models via Truncated Laplacian Mechanism EMNLP 2024
Improved Random Features for Dot Product Kernels JMLR 2024
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NIPS 2023
Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment EMNLP 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks AAAI 2023
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings ACL 2023
A dynamic model of lexical experience for tracking of oral reading fluency ACL 2023
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance ACL 2023
On the Variance, Admissibility, and Stability of Empirical Risk Minimization NIPS 2023
On the Initialization of Graph Neural Networks ICML 2023
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021
On the distributional properties of adaptive gradients UAI 2021
CountSketches, Feature Hashing and the Median of Three ICML 2021
Tighter Theory for Local SGD on Identical and Heterogeneous Data AISTATS 2020
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019
Escaping Saddles with Stochastic Gradients ICML 2018