Mathematics & Optimization

Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020 Selling Data at an Auction under Privacy Constraints UAI 2020 Semantic Correspondence as an Optimal Transport Problem CVPR 2020 Semantic Matching for Sequence-to-Sequence Learning EMNLP 2020 Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems IJCAI 2020 Semi-bandit Optimization in the Dispersed Setting UAI 2020 Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees ICML 2020 Semi-supervised New Event Type Induction and Event Detection EMNLP 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020 Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion ICML 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model AISTATS 2020 Sharp uniform convergence bounds through empirical centralization NeurIPS 2020 Simple and Fast Algorithm for Binary Integer and Online Linear Programming NeurIPS 2020 Simple and sharp analysis of k-means|| ICML 2020 Simulator Calibration under Covariate Shift with Kernels AISTATS 2020 Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020 Sinkhorn Barycenter via Functional Gradient Descent NeurIPS 2020 Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory JMLR 2020 Sliding Window Algorithms for k-Clustering Problems NeurIPS 2020 SLIP: Learning to predict in unknown dynamical systems with long-term memory NeurIPS 2020 Small Nash Equilibrium Certificates in Very Large Games NeurIPS 2020