Skip to content
conftrace_

Statistical Learning

4,564 papers

9
70
110
399
324
'5
'10
'15
'20
'25

Papers

Double/Debiased Machine Learning for Dynamic Treatment Effects NeurIPS 2021 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 Efficient Truncated Linear Regression with Unknown Noise Variance NeurIPS 2021 Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators NSDI 2021 Empirical or Invariant Risk Minimization? A Sample Complexity Perspective ICLR 2021 Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021 Estimating Calibrated Individualized Survival Curves with Deep Learning AAAI 2021 Estimating High Order Gradients of the Data Distribution by Denoising NeurIPS 2021 Estimating Lipschitz constants of monotone deep equilibrium models ICLR 2021 Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021 Estimating the Lasso's Effective Noise JMLR 2021 Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries AAAI 2021 Estimating treatment effects with observed confounders and mediators UAI 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021 Estimation and Quantization of Expected Persistence Diagrams ICML 2021 Estimation of Spectral Risk Measures AAAI 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 Examining and Combating Spurious Features under Distribution Shift ICML 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021 Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021 Extending the Fullband E-Model Towards Background Noise, Bursty Packet Loss, and Conversational Degradations Interspeech 2021