Mathematics & Optimization

Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Individual-Based Stability in Hedonic Diversity Games AAAI 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020 Inexact Tensor Methods with Dynamic Accuracies ICML 2020 Inference for Batched Bandits NeurIPS 2020 Inference of Dynamic Graph Changes for Functional Connectome AISTATS 2020 Inferring Degrees from Incomplete Networks and Nonlinear Dynamics IJCAI 2020 Infinitely deep neural networks as diffusion processes AISTATS 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Information Elicitation Mechanisms for Statistical Estimation AAAI 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 Instance Based Approximations to Profile Maximum Likelihood NeurIPS 2020 Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients NeurIPS 2020 Integrals over Gaussians under Linear Domain Constraints AISTATS 2020 Intelligibility-Enhancing Speech Modifications — The Hurricane Challenge 2.0 Interspeech 2020 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NeurIPS 2020 Inverse Rectification for Efficient Procam Pattern Correspondence WACV 2020 IPBoost – Non-Convex Boosting via Integer Programming ICML 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020