Continuous Optimization

Barrier Algorithms for Constrained Non-Convex Optimization ICML 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 Bayesian Regret Minimization in Offline Bandits ICML 2024 Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization ICML 2024 Better Locally Private Sparse Estimation Given Multiple Samples Per User ICML 2024 Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning ICML 2024 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares ICML 2024 Blurry Video Compression: A Trade-Off Between Visual Enhancement and Data Compression WACV 2024 Boosting Offline Optimizers with Surrogate Sensitivity ICML 2024 Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium ICML 2024 Borda Regret Minimization for Generalized Linear Dueling Bandits ICML 2024 BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ICML 2024 Boundary Decomposition for Nadir Objective Vector Estimation NeurIPS 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024 Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Can a Few Decide for Many? The Metric Distortion of Sortition ICML 2024 Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024 CLOAF: CoLlisiOn-Aware Human Flow CVPR 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 CoDeF: Content Deformation Fields for Temporally Consistent Video Processing CVPR 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Compact Optimality Verification for Optimization Proxies ICML 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024