Mathematics & Optimization

A convex optimization formulation for multivariate regression NeurIPS 2020 Acoustic Properties of Strident Fricatives at the Edges: Implications for Consonant Discrimination Interspeech 2020 Acoustic Signal Enhancement Using Relative Harmonic Coefficients: Spherical Harmonics Domain Approach Interspeech 2020 Active Community Detection with Maximal Expected Model Change AISTATS 2020 Active Learning in the Geometric Block Model AAAI 2020 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020 Adapting Stable Matchings to Evolving Preferences AAAI 2020 Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020 Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound WACV 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 Adaptive Exploration in Linear Contextual Bandit AISTATS 2020 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NeurIPS 2020 Adaptive Interaction Modeling via Graph Operations Search CVPR 2020 Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020 Adaptive Online Estimation of Piecewise Polynomial Trends NeurIPS 2020 Adaptive Probing Policies for Shortest Path Routing NeurIPS 2020 Adaptive Reduced Rank Regression NeurIPS 2020 Adaptive Sampling for Estimating Probability Distributions ICML 2020 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition ICML 2020 Adaptive Submodular Maximization under Stochastic Item Costs COLT 2020 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020