Mathematics & Optimization

NysADMM: faster composite convex optimization via low-rank approximation ICML 2022 Nyström Kernel Mean Embeddings ICML 2022 Offline change detection under contamination UAI 2022 Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit IJCAI 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022 On A Mallows-type Model For (Ranked) Choices NeurIPS 2022 On Biased Stochastic Gradient Estimation JMLR 2022 On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022 On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022 On Convergence of Lookahead in Smooth Games AISTATS 2022 On Discrete Truthful Heterogeneous Two-Facility Location IJCAI 2022 On early extinction and the effect of travelling in the SIR model UAI 2022 One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022 One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022 On Elimination Strategies for Bandit Fixed-Confidence Identification NeurIPS 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022 On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022 On Improving Resource Allocations by Sharing AAAI 2022 On Kernelized Multi-Armed Bandits with Constraints NeurIPS 2022 On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022 On Learning and Refutation in Noninteractive Local Differential Privacy NeurIPS 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022