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2292 papers in math.OC · page 4
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Inexact proximal steps enable sampling from nonsmooth posteriors
Speeding Up Nonsmooth Bayesian MCMC Sampling via Inexact Proximal Unadjusted Langevin Algorithm
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KL relaxation scales bi-causal transport via policy gradients
Scalable Bi-causal Optimal Transport via KL Relaxation and Policy Gradients
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Benchmark adds 1000 Lean proof targets from applied math
CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean
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Reductions spread hidden NP witness info for local inference
Information Redistribution Under Reductions in NP Search
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Nonlinear heads escape collapse by generating negative curvature
The Geometry of Projection Heads: Conditioning, Invariance, and Collapse
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SGD on diagonal linear networks converges exponentially to zero risk
High-dimensional Limit of SGD for Diagonal Linear Networks
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A framework generates neural network verification instances with known ground-truth…
Stress-Testing Neural Network Verifiers with Provably Robust Instances
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QDP finds near-optimal dynamic pricing policies in seconds to a minute on one CPU
QPLEX Decision Processes: Formulation via Nonlinear Markov Chains and Optimization via Policy Gradients
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New network learns SPDE solutions and their uncertainty from noisy data
Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations
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Preconditioned ALM speeds convergence for ill-conditioned SDPs
A preconditioned augmented Lagrangian method for solving semidefinite programming problems
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Framework secures 99.998% reliability for solar-only microgrids
Ensuring reliability in 100% renewable microgrids: a scenario-based joint planning and operational design framework
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Clipped tracking converges at O(sum n_i^1.5 + n_i^0.5/eps) under local smoothness
Clipped Stochastic Gradient Tracking For Locally Smooth Functions
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Statistical estimation reduces to stochastic optimization
Stochastic Optimization and Data Science
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Bilevel policies screened for risk from near-optimal follower responses
A Diagnostic Framework for Implementation Risk in Bilevel Decision Problems: The Ambiguity Premium and the Robustness--Efficiency Frontier
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Filter augmentation recovers optimal LQ gain from output data
Data-Driven Linear Quadratic Control Using Output-Feedback via Non-Minimal Realization
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Finite context converges to infinite limits at rate n to the minus 1 over d
Propagation of Chaos in Contextual Flow Maps
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Proximal gradient reaches Pareto points on manifolds at O(1/k) rate
A Proximal Gradient Framework for Composite Multiobjective Optimization on Riemannian Manifolds
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Pseudonormality gives exact penalty for cardinality constraints
New Bounds for Exact Penalized Cardinality-Constrained Optimization with Pseudonormality Conditions
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Partial gradients slash variance in equilibrium optimization
Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs
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Simple feedback law optimizes albatross soaring in real time
Universal Extremum Seeking Mechanism for Lift Variation in Soaring Birds Flight: A New Paradigm in Computational Physics and Biology
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Score matching closes nonlinear filter moments without integrals
The Score Kalman Filter
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Method stabilizes linear delay systems using static output feedback
Static Output Feedback Stabilization of Linear Systems with Multiple Delays
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Weight decay slows sharpening and triggers architecture phase shifts
Does Weight Decay Enhance Training Stability?
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New framework scales unbalanced transport to large cell datasets
Multiscale Supervised Unbalanced Optimal Transport Flow Matching
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Model finds optimal tuning for wolf-note suppressors in cellos
The Wolf and the Cello: Modelling and design of multiple resonance suppressors in large string instruments
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Data centers double battery value by co-optimizing compute and storage
Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization
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New CQ links asymptotic and classical weak maximum principles
A New Constraint Qualification for Mixed Constrained Optimal Control
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Variant extends Goldfarb-Idnani to non-symmetric game equilibria
Towards A Goldfarb-Idnani Variant for Strongly Monotone Linear-Quadratic Games
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Goldfarb-Idnani variant preserves properties for non-symmetric games
Towards A Goldfarb-Idnani Variant for Strongly Monotone Linear-Quadratic Games
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Lévy control threshold matches stopping boundary
Singular control with state-dependent costs for L\'evy processes
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Ordered off-diagonals guarantee copositive matrix decomposition
Copositive Matrices with Ordered Off-Diagonal Entries
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Algorithm finds directional stationary points for non-smooth DC programs
Finding directional stationary points of DC programs
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Degree bounds derived for Positivstellensätze over general semialgebraic sets
Degree Bounds for Positivstellens\"atze of general semialgebraic sets
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Lift-and-project yields explicit degree bounds for semialgebraic certificates
Degree Bounds for Positivstellens\"atze of general semialgebraic sets
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Two-drone line-segment inspection is strongly NP-hard
Optimizing Line Segment Inspection with Limited-Range Drones
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Min-max test family makes actor-critic outputs viscosity solutions
Viscosity-Informed Generative Actor-Critic for High-Dimensional Stochastic Optimal Control
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Explicit formulas give best harvest rate for jumpy population model
Optimal Harvesting of a Stochastic Logistic Model Driven by One-Sided Tempered Stable Process
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Mean field games recover cost fields from active population dynamics
Travel-time tomography from mean field game dynamics
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Decomposition methods reach stationary points in nonconvex problems
Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization
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Projection methods converge for monotone equations without Lipschitz
Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
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Decoupled reformulation equates data-driven LQT to certainty equivalence
Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
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Mirror descent converges almost surely with Markov-dependent noise
Stochastic Mirror Descent under Iterate-Dependent Markov Noise: Analysis in the Asymptotic and Finite Time Regimes
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This paper studies stochastic games where agents hedge against unknown randomness using…
Distributionally Robust Nash Equilibrium Seeking with Partial Observations and Distributed Communication
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Clipped AdamW beats SGD on unbounded-gradient convex problems
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
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Frank-Wolfe methods converge with local Lipschitz estimates alone
Auto-Conditioned Frank-Wolfe Algorithms
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Distilled preconditioning raises reconstruction quality
DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems
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n-turn paths confined to specific region
Problem of Finding an Optimal Piecewise Linear Path Connecting Two Given Points with the Possibility of Making n Turns
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QQR stabilizes fluidic pinball wake at Re=50 where linear fails
Control of the Fluidic Pinball using the Quadratic-Quadratic Regulator
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Oracle price map learning yields sharp regret in semiparametric pricing
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
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Convex potential targets population-level balance in MoE
$\phi$-Balancing for Mixture-of-Experts Training