Regression

Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020 Improving Event Duration Prediction via Time-aware Pre-training EMNLP 2020 Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks AAAI 2020 Improving the Performance of Acoustic-to-Articulatory Inversion by Removing the Training Loss of Noncritical Portions of Articulatory Channels Dynamically Interspeech 2020 Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework AAAI 2020 Incremental learning of EMG-based control commands using Gaussian Processes CoRL 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Inferring Neuroticism of Twitter Users by Utilizing their Following Interests COLING 2020 Infinite-Horizon Differentiable Model Predictive Control ICLR 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning IJCAI 2020 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations EMNLP 2020 Kernel Alignment Risk Estimator: Risk Prediction from Training Data NeurIPS 2020 Kriging Convolutional Networks AAAI 2020 LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond NeurIPS 2020 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 Learning by Minimizing the Sum of Ranked Range NeurIPS 2020 Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization Interspeech 2020 Learning Composable Energy Surrogates for PDE Order Reduction NeurIPS 2020 Learning Constrained Dynamics with Gauss’ Principle adhering Gaussian Processes L4DC 2020 Learning Dynamical Systems with Side Information L4DC 2020 Learning Entangled Single-Sample Distributions via Iterative Trimming AISTATS 2020 Learning from Aggregate Observations NeurIPS 2020