Выпуклая оптимизация

2021/06/03 by Evgeniya Vorontsova, Roland Hildebrand, Vorontsova, Evgeniya +5 · 659 citations
Computer Science · Mathematics · #65-01 #65K05 #90-01 #90C30 #90C90 #Advanced Optimization Algorithms Research #FOS: Mathematics #G.1.6 #Geochemistry and Geologic Mapping #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Statistical and numerical algorithms

paper · pdf · doi:10.48550/arxiv.2106.01946

openalex publication_date 2021/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/14

Abstract

364 pages, in Russian

Citations

• ADADELTA: An Adaptive Learning Rate Method
• Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
• Robust optimization ? methodology and applications
• Mathematical Methods of Organizing and Planning Production
• First-order methods of smooth convex optimization with inexact oracle
• The Earth Mover's Distance as a Metric for Image Retrieval

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• Smoothing Binary Optimization: A Primal-Dual Perspective
• Learning Ising Models under Hard Constraints using One Sample
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• A Novel Framework for Honey-X Deception in Zero-Sum Games
• Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
• Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
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• Electromagnetics-Compliant Optimization of Dynamic Metasurface Antennas for Bistatic Sensing
• Analysis of approximate linear programming solution to Markov decision problem with log barrier function
• Witness robustness: An operational quantifier of measurement resources via free state discrimination
• Exploring the use of quantum computing for facilitating spatially and temporally resolved models of a biological cell
• CRLB-Driven Beamforming and Power Allocation for Multi-BS Cooperative ISAC Networks
• Exact and Approximate Solvability of Systems Involving Proximity Operators in Hilbert Spaces
• Fractional Doppler Effects on OTFS-NOMA HetNets with Mixed-Mobility Users
• Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation
• Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints
• Goal-Oriented Semantic Communication for ISAC-Enabled Robotic Obstacle Avoidance
• Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication
• Extremizers of a Fourier uncertainty principle related to averaging
• Policy Gradient Bounds in Multitask LQR
• Frequency-Varying Optimization: A Control Framework for New Dynamic Frequency Response Services
• Diagonal Linear Networks and the Lasso Regularization Path
• GaussianPSL: A novel framework based on Gaussian Splatting for exploring the Pareto frontier in multi-criteria optimization
• EigenSafe: A Spectral Framework for Learning-Based Stochastic Safety Filtering
• Development of Deep Learning Optimizers: Approaches, Concepts, and Update Rules
• An efficient algorithm for entropic optimal transport under martingale-type constraints
• Infinite Euclidean Distance Discriminants
• Optimizing Split Federated Learning with Unstable Client Participation
• An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
• Certifiably Optimal Doppler Positioning using Opportunistic LEO Satellites
• Unrolled Graph Neural Networks for Constrained Optimization
• Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition
• Sampling-Based Zero-Order Optimization Algorithms
• Federated Learning for Financial Forecasting
• Secure Multicast Communications with Pinching-Antenna Systems (PASS)
• Interval Estimation for Bounded Jacobian Nonlinear Systems by Zonotope Analysis
• Bridging Batch and Streaming Estimations to System Identification under Adversarial Attacks
• On Optimal Steering to Achieve Exact Fairness
• The Multi-Query Paradox in Zeroth-Order Optimization
• Implicit Communication in Linear Quadratic Gaussian Control Systems
• Analysis Plug-and-Play Methods for Imaging Inverse Problems
• Lower Bounds for the Shadiness Constant of Finite-Dimensional Normed Spaces
• Distributed Implementation of Variational Quantum Eigensolver to Solve QUBO Problems
• Resource Allocation for Mutualistic Symbiotic Radio with Hybrid Active-Passive Communications
• Optimal Algorithms for Bandit Learning in Matching Markets
• Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems
• Classification Filtering
• Asymptotic Analysis of Nonlinear One-Bit Precoding in Massive MIMO Systems via Approximate Message Passing
• Uplink-Downlink Duality for Beamforming in Integrated Sensing and Communications
• Controllable Pareto Trade-off between Fairness and Accuracy
• Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
• Identifying Network Structure of Linear Dynamical Systems: Observability and Edge Misclassification
• Price Regulation with Spillovers
• Cardinality-Constrained Bilevel Capacity Expansion
• Low-Altitude UAV Tracking via Sensing-Assisted Predictive Beamforming
• A Unified Learning-based Optimization Framework for 0-1 Mixed Problems in Wireless Networks
• Safety Under State Uncertainty: Robustifying Control Barrier Functions
• Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
• Randomized Feasibility-Update Algorithms for Stochastic Variational Inequality Problems
• Polynomial Optimization via Random Projection and Consensus
• Theoretical Analysis on the Ability of Particle Swarm Optimization to Escape from Local Optimum
• Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
• Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?
• Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
• Energy Efficiency Maximization for Movable Antenna-Enhanced MIMO Downlink System Based on S-CSI
• Neural Stochastic Differential Equations on Compact State-Spaces
• Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights
• Hanlon-Hicks-Lazarev resolution revisited
• Predictability Enables Parallelization of Nonlinear State Space Models
• Hybrid Atomic Norm Sparse/Diffuse Channel Estimation
• Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints
• Sparse modeling study of extracting charmonium spectral functions from lattice QCD at finite temperature
• MAGNET-KG: Maximum-Entropy Geometric Networks for Temporal Knowledge Graphs: Theoretical Foundations and Mathematical Framework
• Pareto-optimal Tradeoffs Between Communication and Computation with Flexible Gradient Tracking
• EDMD-Based Robust Observer Synthesis for Nonlinear Systems
• Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications
• Extracting and charging energy into almost unknown quantum states
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• Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties
• Constraint-Compliant Network Optimization through Large Language Models
• Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence
• Safe and Non-Conservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers
• Distributed Frequency Control for Multi-Area Power Systems Considering Transient Frequency Safety
• Computation of the Smooth Max-Mutual Information via Semidefinite Programming
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• On the Bit Size of Sum-of-Squares Proofs for Symmetric Formulations
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• Efficient Convex Optimization for Bosonic State Tomography
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• Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity
• Quantum Radar for ISAC: Sum-Rate Optimization
• Spherical latent space models for social network analysis
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• A Benders and column generation method to the integrated airline schedule and aircraft recovery with gate reassignment
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• On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
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• A Fundamental Convergence Rate Bound for Gradient Based Online Optimization Algorithms with Exact Tracking
• Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
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• Reformulations of Quadratic Programs for Lipschitz Continuity
• Forward-Backward Quantization of Scenario Processes in Multi-Stage Stochastic Optimization
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• Optimizing Rate-CRB Performance for Beyond Diagonal Reconfigurable Intelligent Surface Enabled ISAC
• Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
• High-dimensional maximum-entropy phase space tomography
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• On data-driven robust distortion risk measures for non-negative risks with partial information
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• Projected Coupled Diffusion for Test-Time Constrained Joint Generation
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• Spatial Branch-and-Bound for Computing Multiplayer Nash Equilibrium
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• Toward Automated Hypervisor Scenario Generation Based on VM Workload Profiling for Resource-Constrained Environments
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• Distributed games with jumps: An α-potential game approach
• Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
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• Variational inference and density estimation with non-negative tensor train
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• Novel Pivoted Cholesky Decompositions for Efficient Gaussian Process Inference
• Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control
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