Optimization

ISAAC Newton: Input-based Approximate Curvature for Newton's Method ICLR 2023 Iterative Superquadric Recomposition of 3D Objects from Multiple Views ICCV 2023 It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023 LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application ACL 2023 Lazy-k Decoding: Constrained Decoding for Information Extraction EMNLP 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Learning Fractals by Gradient Descent AAAI 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Matrix Estimation for Individual Fairness ICML 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 Mixing Predictions for Online Metric Algorithms ICML 2023 Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023 Neural Dependencies Emerging From Learning Massive Categories CVPR 2023 Neural Inverse Operators for Solving PDE Inverse Problems ICML 2023 Neural Simulated Annealing AISTATS 2023 Non-Convex Bilevel Optimization with Time-Varying Objective Functions NeurIPS 2023 Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 On the Accelerated Noise-Tolerant Power Method AISTATS 2023 On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration ICLR 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems AISTATS 2023