arXiv math.OC

Optimization and Control daily digest.

33 past editions, oldest first by date. Atom feed → · all categories

01 — Past editions

most recent first

2026-07-16 Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation 1 papers · No. 55
2026-07-15 Learning-enabled Acceleration of Scenario-based Model Predictive Control 1 papers · No. 54
2026-07-14 Inter-Stop Energy Prediction and Causal Driver Quantification for... 2 papers · No. 53
2026-07-13 Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems 3 papers · No. 52
2026-07-09 POO-LPSP: Parallel Osprey Optimized Least Penalty-Squared Prioritization... 4 papers · No. 48
2026-07-08 On the Condition Number Upper Bound of the L-BFGS Inverse Hessian... 1 papers · No. 47
2026-07-01 Random Reshuffling Dominates Stochastic Gradient Descent 2 papers · No. 40
2026-06-30 Local-Minima-Preserving Continuous Relaxation of Ising Problems 2 papers · No. 39
2026-06-29 Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz... 1 papers · No. 38
2026-06-28 Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from... 1 papers · No. 37
2026-06-27 Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from... 1 papers · No. 36
2026-06-26 Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from... 1 papers · No. 35
2026-06-25 Generating Input Distributions for Explaining Portfolio Optimization Pipelines 2 papers · No. 34
2026-06-24 New Bounds for the Last Iterate of the Stochastic subGradient Method 1 papers · No. 33
2026-06-23 Incremental Learning in Mirror Flows 1 papers · No. 32
2026-06-22 Robust $Q$-learning for mean-field control under Wasserstein uncertainty in... 3 papers · No. 31
2026-06-21 Robust $Q$-learning for mean-field control under Wasserstein uncertainty in... 3 papers · No. 30
2026-06-20 Robust $Q$-learning for mean-field control under Wasserstein uncertainty in... 3 papers · No. 29
2026-06-19 Robust $Q$-learning for mean-field control under Wasserstein uncertainty in... 3 papers · No. 28
2026-06-17 Symplectic Transversality and Endpoint Green Estimates for Finite-Horizon... 2 papers · No. 26
2026-06-16 Exploding and vanishing gradients in deep neural networks: the effect of... 2 papers · No. 25
2026-06-15 Free Heavy-Tailed Lunch for Muon: A Theoretical Justification of Empirical Success 2 papers · No. 24
2026-06-14 Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained... 1 papers · No. 23
2026-06-13 Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained... 1 papers · No. 22
2026-06-12 Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained... 1 papers · No. 21
2026-06-11 Last-Iterate Convergence of Optimistic Multiplicative Weight Update 1 papers · No. 20
2026-06-10 Accelerating SAV-based optimization via randomized low-rank Hessian approximation 1 papers · No. 19
2026-06-09 Powering the Future of AI: Navigating the Trade-offs for Europe's Energy... 1 papers · No. 18
2026-06-08 The Proxy Benders Decomposition 1 papers · No. 17
2026-05-28 Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation... 2 papers · No. 11
2026-05-25 RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in... 1 papers · No. 9
2026-05-23 Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated... 1 papers · No. 8
2026-05-22 Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated... 1 papers · No. 7

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