Mathematics

Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021 Revisiting the Uniform Information Density Hypothesis EMNLP 2021 Riemannian Convex Potential Maps ICML 2021 Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021 RIM: Reliable Influence-based Active Learning on Graphs NeurIPS 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Robustifying Algorithms of Learning Latent Trees with Vector Variables NeurIPS 2021 Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021 Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021 Robust Testing and Estimation under Manipulation Attacks ICML 2021 Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs ICCV 2021 Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Scene Essence CVPR 2021 Selfish Creation of Social Networks AAAI 2021 Sequential Algorithms for Testing Closeness of Distributions NeurIPS 2021 Sequential prediction under log-loss and misspecification COLT 2021 Sequential prediction under log-loss with side information ALT 2021 Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021 SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality COLT 2021 SgSum:Transforming Multi-document Summarization into Sub-graph Selection EMNLP 2021 Shape From Caustics: Reconstruction of 3D-Printed Glass From Simulated Caustic Images WACV 2021 Shapley Flow: A Graph-based Approach to Interpreting Model Predictions AISTATS 2021