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Optimization

1203 directly classified papers

Papers per year

Papers

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NIPS 2024
Constrained Binary Decision Making NIPS 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Generalized Fast Exact Conformalization NIPS 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NIPS 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
Scalable Optimization in the Modular Norm NIPS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Conformal Inverse Optimization NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NIPS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Big Learning Expectation Maximization AAAI 2024
Optimal Transport with Cyclic Symmetry AAAI 2024