convex optimization

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 Multi-modal conformal prediction regions by optimizing convex shape templates L4DC 2024 Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NeurIPS 2024 Non-stationary Online Convex Optimization with Arbitrary Delays ICML 2024 No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting NeurIPS 2024 On Convex Optimization with Semi-Sensitive Features COLT 2024 Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 Open Problem: Anytime Convergence Rate of Gradient Descent COLT 2024 Optimal Classification under Performative Distribution Shift NeurIPS 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NeurIPS 2024 Optimal Transport with Cyclic Symmetry AAAI 2024 Optimization Algorithm Design via Electric Circuits NeurIPS 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Preference-based Pure Exploration NeurIPS 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024 PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024