Optimization

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion ICML 2023 Optimistic Planning by Regularized Dynamic Programming ICML 2023 Optimization or Architecture: How to Hack Kalman Filtering NeurIPS 2023 Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NeurIPS 2023 PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023 Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems ICML 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 q-Learning in Continuous Time JMLR 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NeurIPS 2023 Quantum speedups for stochastic optimization NeurIPS 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution CVPR 2023 Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 Sequential Counterfactual Risk Minimization ICML 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023