convex optimization

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Almost surely constrained convex optimization ICML 2019 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 A near-optimal algorithm for approximating the John Ellipsoid COLT 2019 An Embedding Framework for Consistent Polyhedral Surrogates NeurIPS 2019 An Optimal High-Order Tensor Method for Convex Optimization COLT 2019 A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019 A Theory of Regularized Markov Decision Processes ICML 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance COLT 2019 Blended Conditonal Gradients ICML 2019 Blended Matching Pursuit NeurIPS 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NeurIPS 2019 Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD ICML 2019 Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Consistent Online Optimization: Convex and Submodular AISTATS 2019 Convex Formulations for Fair Principal Component Analysis AAAI 2019 Coresets for Archetypal Analysis NeurIPS 2019 Deep Layers as Stochastic Solvers ICLR 2019 DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging NeurIPS 2019 Differentiable Convex Optimization Layers NeurIPS 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019