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275 публикаций

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Robust Bayesian Portfolio Optimization with Discrepancy-based Posterior Ambiguity
Gray-Box Optimization using Optimism in the Face of Uncertainty
Information-Theoretic Meta Dynamic Programming for Signalling and Control of POMDPs
Symplectic Transversality and Endpoint Green Estimates for Finite-Horizon Pontryagin Systems
Fast primal-dual methods for convex-concave bilinear saddle point problems: continuous-time dynamics and discrete algorithms
Two-Phase Bilevel Search for the Moving-Target Traveling Salesman Problem with Moving Obstacles
A Theory-Guided Advanced Regulatory Control Synthesis for Cooling-Limited Exothermic Semi-Batch Reactors
Sub-optimal control by primal-dual gradient dynamics
Mean-Field Control with a Common Hidden State under Decentralized Observations
Counterexample to a conjecture on the pairwise independent correlation gap using AI
Learning Neural Maximal Lyapunov Functions on $\mathsf{SO}(n)$
A Unified Framework for Joint Sensor Placement and Scheduling for Intrusion Detection
Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods
Sequential Fair Allocation and Routing in Nonprofit Operations
Projected Stochastic Gradient Descent with Decision Dependent Distributions: Extended Version
Sparse-dense flight copy-based interactive mechanism to airline integrated with cruise speed control
Sequential Hiring of Contingent Workers Through Learning-Based Optimization
Intermediate Bilevel Optimization: Modeling Endogenous Follower Tie-Breaking Behavior
Testing the max-flow min-cut property and the replication conjecture
Restarted Reflected Halpern Acceleration for Augmented Primal-Dual Methods
Distributionally robust decision-making under ambiguity: case study of water environmental management
Chebyshev-Exact Acceleration under Hessian Variation, I: Sine-Jacobi Method
Coarse Preference Reporting in the Bottleneck Model: Approximate Strategyproofness and Efficiency
Contextual Robust Optimization for AI Data Center Scheduling with Statistical Guarantees
Beyond IGO-Flow: Toward Convergence Analysis of IGO in Continuous Spaces
An Adaptive Algorithm for the Approximation of General Linear-Parametric Optimization Problems
Flocking and Mean-Field Analysis of Delayed Leader-Follower Cucker-Smale System
An algorithm to exactly compute minimal upper bounds in the Loewner order
Delay-dependent passivity and stability of linear port-Hamiltonian systems
Degree-Four Vector-Coordinate SoS Cannot Detect the MUB Upper Bound
Proof and More Variations of Bellman's Lost-in-a-forest Problem
A Semismooth Newton-Based Proximal Augmented Lagrangian Method for Joint Estimation of Multiple Gaussian Graphical Models with Clustered Structure
SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums
Multi-Stage Stochastic Optimization and Reinforcement Learning Approaches for Dynamic Inspection of Infrastructure Systems
Stability Analysis in Multi-Constraint Safety Filters for Linear Systems
The Complexity of Min-Max Optimization for Quadratic Polynomials
Exploding and vanishing gradients in deep neural networks: the effect of residual connections
Optimal Bounded Thrust Powered Descent with Analytical Ground-Collision Avoidance
Collective Optimization on Riemannian Manifolds with Bounded Curvature
CVXPY 1.9: Recent Advances in Optimization Modeling Software
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks
Controller and Control Architecture Co-Design via Mixed-Integer System-Level Synthesis
Linear Programming
Scalable Deep Unfolding of Conic Optimizers
A Sustainable Integrated Framework for Multi-Type Urban Waste Collection and Recycling
Optimal Proximity Bound and Product Function Estimates in Integer Linear Programming
How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit
Accelerating SAV-based optimization via randomized low-rank Hessian approximation
Nonlocal Onsager Operators and Entropy Dissipation for Finite-State Schrödinger Bridges
NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
Direct Data-Driven Approximate Optimal Control of Nonlinear Input-Affine Systems
Bounding the Null Space: Interval-Based Uncertainty Quantification for Non-Identifiable Groundwater Models
Averaging of Random Vibrations in Mechanical Systems in the Sense of Ito, Stratonovich, and Sussmann
From the Linear Quadratic Regulator (LQR) to the (Deterministic) Kalman Filter in Two Easy Steps
Analysis of a Distributed Optimization-Based Control Architecture for Inverter-Interfaced Virtual Power Plants
An Efficient Method for the Optimal Control of Microgrids Under Uncertainties using Local Reduction
Exponential Adaptive Smoothing and Importance Sampling for Optimization of the Conditional Value-at-Risk
Convex Generalized Differentiation at infinity
Credit Capacity and the Propagation of Funding Shocks: Evidence from U.S. and Brazilian Financial Intermediaries
Last-Iterate Convergence of Optimistic Multiplicative Weight Update
A constrained symbolic regression approach for Lyapunov function discovery
An algorithm for dynamical quantum optimal transport with applications to quantum chemistry
Learning Doubly Sparse Explicitly Conditioned Transforms
Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides
Optimal Harvesting under Stochastic Control: HJB Equation and Feynman-Kac Representation
Block coordinate descent for joint delay-energy optimization in multi-hop D2D networks
Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming
Explainable Optimization: A Call for Interdisciplinary Action
Generalized Cancellation of Capacitor Parasitic Inductance Using a Lattice Network and Its Application to Common-Mode Noise Reduction
Second order Taylor-like topological expansion with multiple holes
Consecutive Support Matching Induced Parameter Tuning Accelerates Momentum Iterative Hard Thresholding
A dual dynamic programming approach with dimension-free complexity for a class of convex optimization problems
Baseline-Free Policy Optimization for Neural Combinatorial Optimization
Constructive Versions of Ekeland's Variational Principle
Koopman Modeling and Stabilization of Discrete-Time Nonlinear Control Systems: Bilinearity on a Reproducing Kernel Hilbert Space
Explicit Convergence Regions of PID-Damped Accelerated Gradient Methods in Nonconvex Optimization
Proof of Stake economy under centralized exchanges--a mean field model
Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin
Time-Varying Perturbations of Contractive Systems With an Application to Safe Stabilization
Families of Control-Cost-Parametrized Inverse-Optimal Universal Stabilizers
Latent Structural Categorical Matrix Completion with Application to Quasispecies Analysis
Risk-Aware Control of Systems with Quasi-Cone-Bounded Nonlinearities
Equivalence between time and norm optimal control problems of stochastic differential equations
Exact Optimization-Free Safety Filters for Control Barrier Functions
Optimal Feedback Communication with Information Maximization and Distortion Minimization
Mean field games with option to buy information
Limit Theory for $N$-Player $α$-Potential Games
The Proxy Benders Decomposition
A Nine-Compartment Nonlinear Epidemic Model with Spline-Based Identification of Time-Varying Transmission and Vaccination Dynamics: Application to the COVID-19 Third Wave in Italy
Local optimization of weak distance between compact surfaces on special Euclidean group
ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion
When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks
Optimal Control of Sweeping Processes with Nonsmooth Moving Sets: A Numerical Algorithm
GPU-Accelerated Direct Transcription-Based Nonlinear Model Predictive Control
Iterative Thresholding Pursuit with Continuation for $\ell_{1-2}$-Regularized Sparse Recovery
Sparse Recovery via $\ell_1^2-η\ell_2^2$ Minimization
Combining diffuse and sharp interface methods in shape optimisation
Distributionally robust shortfall risk portfolio model with moment ambiguity sets
Peng's Maximum Principle for McKean-Vlasov Stochastic Differential Equations with Common Noise
Second order splitting dynamics for stochastic monotone inclusions with closed loop distribution
Statistically and Computationally Optimal Estimation and Inference of Common Subspaces
КЛИНИЧЕСКИЙ СЛУЧАЙ: АМЕЛОБЛАСТИЧЕСКАЯ ФИБРОМА НИЖНЕЙ ЧЕЛЮСТИ У РЕБЕНКА, ПРИНЦИПЫ ОРГАНОСОХРАНЯЮЩЕЙ ОПЕРАЦИИ
АЛГОРИТМЫ КВАНТОВОЙ ОПТИМИЗАЦИИ В ИССЛЕДОВАНИИ ОПЕРАЦИЙ: МЕТОДЫ, ПРИЛОЖЕНИЯ И ПЕРСПЕКТИВЫ РАЗВИТИЯ
Генетические предикторы абдоминальных осложнений после операций на сердце: проспективное исследование
Планирование поставок продукции на год с учетом минимизации затрат на перевозку для бесперебойного снабжения потребителей
The Linear Programming Problem
A Robust Optimization Approach to Sparse Principal Component Analysis
Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression
Optimal Finite-Horizon LQR Control for Traffic Flow via Variable Speed Limits
Bregman meets Lévy: Stochastic mirror descent with heavy-tailed noise in continuous and discrete time
Towards Guaranteed Optimal PID Tuning for Uncertain Nonlinear Systems
A model-free approach to control barrier functions for higher-order systems
Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication
Convergence rates of Sum-of-Hermitian-Squares Hierarchies for the Pauli algebra
Re-opening PID controller stability domain in 3D via ruled surface by D-partition
Adaptive Accelerated Mirror Descent in Primal and Dual Spaces
On the gap of quiver representations
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
Parametric Linear Programming
Beyond Pure Sampling: Hybrid Optimization Mechanisms for Non-Convex Model Predictive Control
A path-following framework on fiber bundle for variational inequalities
Coupled Routing and Charge Schedule Optimization of Electrified Delivery Truck Fleets: Feasibility Analyses
Frank-Wolfe with Moreau Envelope Smoothing for Nonsmooth Nonconvex Problems
A symmetry formula for the spectral fractional Laplacian, and applications to boundary controllability for plate equation with structural damping
Inexactly Smooth Performance Estimation and New Optimized Gradient Methods
An arc-search BFGS algorithm for unconstrained nonlinear optimization problems
Stability results for regularized least-squares problems via generalized Hessian expressions and monotone generalized equations
GNMR: Runtime Stability Control for Low-Precision Large Language Model Training
Handling Control System Optimality
Taming the Loss Landscape of PINNs with Noisy Feynman-Kac Supervision: Operator Preconditioning and Non-Asymptotic Error Bounds
Relax and Follow: L0-Path Computation with L0-Bregman Relaxations
Benchmarking Realistic Synthetic Instances Against a Large-Scale District Heating Network: A Multi-Objective Optimization Study for Berlin
A novel L-shaped refinement chain cuts method for two-stage stochastic programs
Portfolio optimization based on bi-objective linear programming
BERS: Locally Optimal Continuous Algorithm for Maritime Weather Routing with Just-in-Time Arrival
A derivative-free particle method for optimization in Hilbert spaces
The Value of Temporary Control for the M/M/1 Queue
Distributed optimal control problems governed by poroelasticity equations
BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization
MATRO: Metric-Aware Fully Quadratic Trust Regions for Derivative-Free Optimization
Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion
Mean Field Competition of Optimal Switching: The Vanishing Entropy Regularization Approach
A New Constraint Qualification for Continuous-Time Nonlinear Programming Based on Asymptotic KKT Conditions
Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*
Convergence of Spectral Descent for Non-smooth Optimization
A Unified Primal-Dual Recipe for Accelerating Three-Operator Splitting Methods
Polyak-Lojasiewicz Inequality for Quadratically Regularized Optimal Transport
An existence result for a quantitative isoperimetric inequality in $\mathbb{R}^3$ involving the Hausdorff asymmetry
Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT
Do Deep Networks Forget Initialization? A Forgetting-Time View of Practical Inductive Bias
Distributed Non-Uniform Scaling Control of Multi-Agent Formation with Dynamic Agent Joining
Bridging Semantics and Strategy: A Dual-Stream Graph Network for Equitable Negotiation Forecasting
Nucleolus Computation by Non-Zero-Constrained Optimization
Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension
PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers
Dynamic Stabilisation of Boundary Control Systems
De-risking solutions to optimization problems
Hautus-Type Criteria for Controllability and Stabilizability of Backward-Structured Stochastic Systems
Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
Generalized matrix nearness problems II
Wasserstein Contraction of Coordinate Ascent Variational Inference
Accelerating Sinkhorn for Entropy-Regularized Optimal Transport
Proper efficiency results in vector optimisation in real linear-topological spaces based on vectorial penalisation
Pareto-optimal linear programming
A Fresh Look at Lamarckian Evolution and the Baldwin Effect
Robust Markov Decision Processes on Continuous State Spaces
Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity
Learning Approximate Solutions to Multiparametric Generalized Nash Equilibrium Problems
Linear Programming Formulations
The Linear Programming Approach to Approximate Dynamic Programming
Statistical and Algorithmic Foundations of Probing Quantum Systems with Compressive Measurements: A Review
Feasibility Determination for Subjective Probability Constraints
Probabilistic Smoothing with Ratio-Monotone Transforms for Global Optimization
Learning to reoptimize: a GNN-aided fix-and-optimize approach and an application to the Lot Sizing problem
Robust Ergodic Control of Jump-Diffusion Systems under Drift and Intensity Uncertainty
Stochastic maximum principle for optimal control of infinitely delayed systems of functional type in infinite dimensions
On the geometry of sharp minima
Subgradient Methods on Manifolds with Lower Bounded Curvature
Linear Programming
Bilevel Linear Programming
On the Complexity of Bilevel Independent Set Problem
Exact controllability of the stochastic Maxwell equation: theory and numerical simulation
Resonant Microstructures as Dirac-type Actuators for Acoustic Wave Control
Dynamic inverse problems: Online regularisation theory
Network Flow Thegrams
Quasi-Newton and Krylov Methods for the Solution of Nonconvex Trust-Region Subproblems
Reachability for Low-Thrust Trajectories via Maximum Initial Mass
Minimum Effort Control Using Variational Methods of Analytical Mechanics A New Approach For Optimal Control
Harnessing Individual Motivation for Collective Efficiency: A Mechanism-Driven Distributed Optimization Method
General Revenue Adequacy Conditions for Energy Transport Networks
On Moment-Based Recovery of Measures with Atomic and Continuous Parts
An optimal transport foundation for a class of dynamically consistent risk measures
Spectral analysis of the logit mapping and implications for stochastic user equilibrium algorithms
A linear programming based heuristic framework for min-max regret combinatorial optimization problems with interval costs
Fuzzy Linear Programming
Linear Programming
Generalized Upper Bounds
How Optimization Is Used in Practice: Case Studies in Linear Programming
Decentralized Inexact Cubic Newton Method with Consensus Procedure
An iterative Constraint Programming approach to integrate maximum workload constraints in preemptive jobshop scheduling
Viscosity Solutions of Stochastic Hamilton--Jacobi--Bellman Equations with Jumps
SURF: Steering the Scalarization Weight to Uniformly Traverse the Pareto Front
Basics
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming
On linear programming relaxations for solving polynomial programming problems
Interior-Point Methods
Interior-Point Methods
Linear Programming Formulations
Characterization of Normalizer of Lie Superalgebra and its Application to Control Theory
A $\operatorname{prox}$-Based Semi-Smooth Newton Method for TV-Minimization
Optimization over the intersection of manifolds
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
Convergence of iterates and improved rates for accelerated augmented Lagrangian methods for linearly constrained convex optimization
Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
Shape Design for Degenerate Parabolic Equations with Degenerate Boundaries and Its Application to Boundary Observability
GLOBe: A Modular Global Optimization library
Linear Programming
Carathéodory, Constantine; Carathéodory theorem; History of optimization; Inequality-constrained nonlinear optimization; Kantorovich, Leonid Vitalyevich; Leibniz, Gottfried Wilhelm; Linear programming; Operations research; Von Neumann, John HISTORY OF OPTIMIZATION
Модели и методы тропической алгебры в задачах оптимизации и исследования операций
Dynamic Shapley Computation
The Team Order Problem: Maximizing the Probability of Matching Being Large Enough
A Note on EFX Inapproximability for Chores
Decentralized Inexact Cubic Newton Method with Consensus Procedure
Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing
Beyond Nonlinear Small-Gain Design: DADS with Partial-State Feedback
The Simplex Method
Formulation of Linear Programming Problems
A characteristic function framework for chance constraint programming in stochastic model predictive control
Sharp Rates of MMD Empirical Estimation with Power Kernels
The distance-based formation controller design for multi-agent systems in port-Hamiltonian form
On Piecewise Quadratic Terminal Costs for MPC
A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions
Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
Generalized Differentiability and Second-Order Necessary Optimality Conditions for an Elliptic Optimal Control Problem with Exponential Nonlinearity and Discrete Measures
Data-driven approximation of regions of attraction via an LP-based selection of PWA Lyapunov functions
Analytical Approach to Continuous-Time Causal Optimal Transport
Robust synchronization for multi-agent systems governed by PDEs with observable and unobservable disturbances
Linear Programming
Algorithms
Nonserial Dynamic Programming and Tree Decomposition in Discrete Optimization
An integer linear programming approach for bilinear integer programming
Robust Optimization Under Objective Functional Uncertainty
Implementation-Based Incentive Design for Autonomous Mobility-on-Demand and Transit Systems
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
Linear Programming
Linear and Non-linear Optimization Problems
A Diagnostic Framework for Implementation Risk in Bilevel Decision Problems: The Ambiguity Premium and the Robustness--Efficiency Frontier
Stochastic Optimization and Data Science
Clipped Stochastic Gradient Tracking For Locally Smooth Functions
Additive and multiplicative tolerance in multiobjective linear programming
$φ$-Balancing for Mixture-of-Experts Training
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
Control of the Fluidic Pinball using the Quadratic-Quadratic Regulator
Problem of Finding an Optimal Piecewise Linear Path Connecting Two Given Points with the Possibility of Making n Turns
Mathematical Programming: Linear, Integer, and Nonlinear Optimization in Military Decision-Making
The Many Guises of Linear Programming
Linear Programming: Interior-Point Methods
Codon optimization by 0-1 linear programming
Network-Based Approximate Linear Programming for Discrete Optimization
Linear Programming: Interior-Point Methods
Linear Programming: The Simplex Method
Linear Programming: The Simplex Method
Optimization of Organ Transplantation Logistics from an Operations Research Linear Programming Perspective
Linear Programming Formulations
Linear Programming Formulations
Duality in Fuzzy Multiple Objective Linear Programming
Stochastic Programming: Introduction
Achieving $ε^{-2}$ Sample Complexity for Single-Loop Actor-Critic under Minimal Assumptions
Phase Matching for a Generalized Grover's Algorithm
Affiliated operators for classical and quantum control
Uniqueness of synchronized stationary equilibria in the Kuramoto mean field game
Min-Max Optimization Requires Exponentially Many Queries