Mathematics & Optimization

Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021 A first-order primal-dual method with adaptivity to local smoothness NeurIPS 2021 A Game-Theoretic Account of Responsibility Allocation IJCAI 2021 A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Gradient Method for Multilevel Optimization NeurIPS 2021 A heuristic for statistical seriation UAI 2021 A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression NeurIPS 2021 A Hybrid Approximation to the Marginal Likelihood AISTATS 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 A Hypergradient Approach to Robust Regression without Correspondence ICLR 2021 AI for Planning Public Health Interventions IJCAI 2021 AI for Social Good: Between My Research and the Real World AAAI 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 A Kernel-based Test of Independence for Cluster-correlated Data NeurIPS 2021 A kernel two-sample test with selection bias UAI 2021 AligNarr: Aligning Narratives on Movies ACL 2021 Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings AAAI 2021 Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021 Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball COLT 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Altruism Design in Networked Public Goods Games IJCAI 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021