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Every paper Pith has read. Search by title, abstract, or pith.
2292 papers in math.OC · page 2
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Sampling reveals limits of quadratic bounds on reset graphs
Scaled Graph Bounding Techniques for Reset Systems
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SA error tails range from sub-Gaussian to near-Pareto with Markov noise
Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise
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Pontryagin framework optimizes policies for non-exponential discounts
Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential Discounting
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Sublinear dynamic regret for time-varying bilevel optimization
No-regret optimization of time-varying bilevel problems
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Unified Lyapunov template analyzes minimax and bilevel dynamics
Continuous-Time Analysis for Minimax and Bilevel Problems
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Markov chains optimize hybrid spares for satellite constellations
Spare Strategy for Large-Scale Satellite Constellations Under Dual Resupply Channels Using Markov Chain
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LOSCAR-SGD overlaps local steps with sparse delayed updates
LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging
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Survey shows LLMs aiding operations research tasks
Large Language Models for Operations Research: A Comprehensive Survey
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Polynomial diagrams let cell boundaries be algebraic curves
Polynomial diagrams for microstructure modelling
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Stochastic proximal point converges weakly almost surely in Hadamard spaces
Weak convergence of the stochastic proximal point method in metric spaces
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Bias correction cuts pretraining loss in AdamW and similar optimizers
Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
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Explicit Gâteaux formula yields mean-field policy gradient
Policy Gradient for Continuous-Time Mean-Field Control
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New algorithm respects constraint priorities even when infeasible
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
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Particles stay close to mean-field limit for all time in second-order CBO
Uniform-in-time propagation of chaos for Second-Order Consensus-Based Optimization
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Weak-form latent models cut PDE optimization time by five orders
Time-Dependent PDE-Constrained Optimization via Weak-Form Latent Dynamics
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C-ALADIN converges globally for convex consensus optimization
Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
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CDF inversion fixes uneven Pareto front sampling
SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front
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Super-parabolicity ensures unique jump HJB viscosity solutions
Viscosity Solutions of Stochastic Hamilton--Jacobi--Bellman Equations with Jumps
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Adaptive surrogate cuts FSI optimization cost by 80 percent
Adaptive Multi-Fidelity Structural Optimization under Fluid-Structure Interaction
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Iterative CP adds workload limits to preemptive jobshop schedules
An iterative Constraint Programming approach to integrate maximum workload constraints in preemptive jobshop scheduling
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Bootstrapping any solver yields fair kidney exchange mechanisms
Optimizing for Fairness in Generalized Kidney Exchange: Theory and Computations
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Pointwise rejection costs replace global budgets in partial OT
Take It or Leave It: Intent-Controlled Partial Optimal Transport
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Disturbance observer synchronizes multi-agent PDE systems
Robust synchronization for multi-agent systems governed by PDEs with observable and unobservable disturbances
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Causal transport value equals nonlinear PDE on enlarged space
Analytical Approach to Continuous-Time Causal Optimal Transport
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Linear program certifies region of attraction from vector-field samples
Data-driven approximation of regions of attraction via an LP-based selection of PWA Lyapunov functions
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Linear program certifies data-based regions of attraction
Data-driven approximation of regions of attraction via an LP-based selection of PWA Lyapunov functions
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Verification theorem characterizes equilibria under weaker conditions
Time-Inconsistent Singular Control Problems with a Running Minimum Process
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Reduced-basis trust-region speeds elastic defect identification
Adaptive Reduced-Basis Trust-Region Methods for Defect Identification in Elastic Materials
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Frank-Wolfe converges on abs-smooth convex objectives without smoothness
Abs-Smooth Frank-Wolfe Method: Primal-Dual Analysis, Heavy Ball Momentum, and Inexact Oracles
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Filters replace output derivatives in funnel control
Funnel control with input filter for nonlinear systems with arbitrary relative degree
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Follower property yields bilevel branching scheme for scheduling
Heuristic approaches for solving a bilevel optimistic scheduling problem on parallel machines
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Memoryless controller suffices for switched linear stabilization
Feedback Stabilization of Switched Systems: Memory is not needed
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Inertial term halves DEQ inference time for image restoration
i-DEQ: A stable inertial deep equilibrium model for image restoration
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Consensus particles converge exponentially to bi-level optima
Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization
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Federated stochastic approximation gets explicit Gaussian error bounds
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
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MiMuon reaches O(1/N) generalization bound for matrix models
MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
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Shape design yields observability for degenerate parabolic equations
Shape Design for Degenerate Parabolic Equations with Degenerate Boundaries and Its Application to Boundary Observability
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Neural warm starts triple speed of UAV-UGV handover planning
Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
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Accelerated Lagrangian methods reach o(1/k^2) feasibility rates
Convergence of iterates and improved rates for accelerated augmented Lagrangian methods for linearly constrained convex optimization
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Decentralized Newton matches centralized O(1/epsilon) rate
Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(epsilon^{-1}) Global Iteration Complexity
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Generalized derivatives give optimality conditions for exponential control problems
Generalized Differentiability and Second-Order Necessary Optimality Conditions for an Elliptic Optimal Control Problem with Exponential Nonlinearity and Discrete Measures
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Adaptive penalty proves convergence for feasible Pareto hypernetworks
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
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RL quadrotor controller enables forest under-canopy inspections
Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
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Reward heuristics tune quadrotor RL policies for fast or slow settling
A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions
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RDDP optimizes paths 28 times faster with optimality proofs
Reachability-Augmented Dual Dynamic Programming for Optimal Path Parameterization
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Scalable iterative Gramian synthesis reaches 100-dimensional nonlinear systems
Scalable iterative Gramian synthesis for control-affine systems
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AdaGrad converges under heavy-tailed noise without knowing the tail index
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
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LLM converts user prompts into optimization model patches
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
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Minimum transfer locks AMoD and transit at social target
Implementation-Based Incentive Design for Autonomous Mobility-on-Demand and Transit Systems
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