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Regression

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Papers

Interpolation can hurt robust generalization even when there is no noise NIPS 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes NIPS 2021
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NIPS 2021
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NIPS 2021
Topological Attention for Time Series Forecasting NIPS 2021
Robust Optimization for Multilingual Translation with Imbalanced Data NIPS 2021
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NIPS 2021
Learning the optimal Tikhonov regularizer for inverse problems NIPS 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
Reformulating Zero-shot Action Recognition for Multi-label Actions NIPS 2021
ReLU Regression with Massart Noise NIPS 2021
Lattice partition recovery with dyadic CART NIPS 2021
Learning to delegate for large-scale vehicle routing NIPS 2021
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism NIPS 2021
Implicit Sparse Regularization: The Impact of Depth and Early Stopping NIPS 2021
On Optimal Interpolation in Linear Regression NIPS 2021
On the Role of Optimization in Double Descent: A Least Squares Study NIPS 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series NIPS 2021
Meta-Learning for Relative Density-Ratio Estimation NIPS 2021
A Regression Approach to Learning-Augmented Online Algorithms NIPS 2021
Learning Density Distribution of Reachable States for Autonomous Systems CORL 2021
Learning Model Preconditions for Planning with Multiple Models CORL 2021
Learning Eye-in-Hand Camera Calibration from a Single Image CORL 2021
Learning Inertial Odometry for Dynamic Legged Robot State Estimation CORL 2021