convex optimization

Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 The ensmallen library for flexible numerical optimization JMLR 2021 The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication COLT 2021 The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods ICLR 2021 Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss COLT 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021 Training Quantized Neural Networks to Global Optimality via Semidefinite Programming ICML 2021 Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization ICCV 2021 Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NeurIPS 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Variational Fair Clustering AAAI 2021 XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021 You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism NeurIPS 2021 A Catalyst Framework for Minimax Optimization NeurIPS 2020 Acceleration with a Ball Optimization Oracle NeurIPS 2020 A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020 A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization AISTATS 2020 A convex optimization formulation for multivariate regression NeurIPS 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NeurIPS 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 An efficient nonconvex reformulation of stagewise convex optimization problems NeurIPS 2020 A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020 A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020