math.OC

Papers

• Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity (2026)
  Michael T. M. Emmerich
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• Open Set Recognition For Music Genre Classification (2024)
  Kevin Liu et al.
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• Variable Clustering via Distributionally Robust Nodewise Regression (2026)
  Kaizheng Wang et al.
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• Optimization Methods in Deep Learning: A Comprehensive Overview (2023)
  David Shulman
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• Using a one-dimensional finite-element approximation of Webster's horn equation to estimate individual ear canal acoustic transfer from input impedances (2023)
  Nick Wulbusch et al.
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• Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization (2026)
  Katherine B. Adams et al.
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• Difference of Submodular Minimization via DC Programming (2024)
  Marwa El Halabi et al.
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• Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles (2026)
  Lesi Chen et al.
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• Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization (2023)
  Tanmay Gautam et al.
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• On the Communication Complexity of Decentralized Stochastic Bilevel Optimization (2026)
  Yihan Zhang et al.
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• MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods (2024)
  Mou Wu et al.
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• Weak Convergence Analysis of Online Neural Actor-Critic Algorithms (2026)
  Samuel Chun-Hei Lam et al.
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• Spurious Stationarity and Hardness Results for Bregman Proximal-Type Algorithms (2026)
  He Chen et al.
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• Conserving Human Creativity with Evolutionary Generative Algorithms: A Case Study in Music Generation (2024)
  Justin Kilb et al.
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• From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists' Fingering and Stylistic choices (2024)
  Pierluigi Bontempi (Unipd) et al.
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• Incremental Gauss-Newton Descent for Machine Learning (2026)
  Mikalai Korbit et al.
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• Morphogenesis of sound creates acoustic rainbows (2024)
  Rasmus E. Christiansen et al.
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• Neural Networks and (Virtual) Extended Formulations (2026)
  Christoph Hertrich et al.
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• A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations (2026)
  Shu Liu et al.
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• Personal Sound Zones and Shielded Localized Communication through Active Acoustic Control (2024)
  Neil Jerome A. Egarguin and Daniel Onofrei
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• Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem (2026)
  Xiaozhi Liu et al.
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• Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance (2025)
  Lisha Chen et al.
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• Adjusted Shuffling SARAH: Advancing Complexity Analysis via Dynamic Gradient Weighting (2026)
  Duc Toan Nguyen et al.
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• A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization (2026)
  Po Chen et al.
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• MathOptAI.jl: Embed trained machine learning predictors into JuMP models (2026)
  Oscar Dowson et al.
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• Constraint Optimized Multichannel Mixer-limiter Design (2026)
  Yuancheng Luo et al.
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• Objective Soups: Multilingual Multi-Task Modeling for Speech Processing (2025)
  A F M Saif et al.
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• EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization (2026)
  Chinmay Maheshwari et al.
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• Risk-averse Fair Multi-class Classification (2026)
  Darinka Dentcheva et al.
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• Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators (2026)
  Gianluca Fabiani et al.
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• Extensions of Robbins-Siegmund Theorem with Applications in Reinforcement Learning (2026)
  Xinyu Liu et al.
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• A first-order method for constrained nonconvex-nonconcave minimax optimization (2026)
  Zhaosong Lu et al.
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• Flatness-Aware Stochastic Gradient Langevin Dynamics (2026)
  Stefano Bruno et al.
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• Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation (2026)
  Chengcan Wu et al.
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• Optimized Loudspeaker Panning for Adaptive Sound-Field Correction and Non-stationary Listening Areas (2025)
  Yuancheng Luo
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• A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions (2026)
  Bar{\i}\c{s} Ata et al.
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• Optimal and Diffusion Transports in Machine Learning (2026)
  Gabriel Peyr\'e
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• Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies (2026)
  John Cao et al.
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• A Learning Stability Profile for Finite-Dimensional Learning Dynamics (2026)
  Ronald Katende
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• Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-Sided and Two-Sided Preconditioning (2026)
  Huan Li et al.
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• Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data (2026)
  Willem Diepeveen et al.
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• ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research (2026)
  Ruicheng Ao et al.
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• Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach (2026)
  Amir Ali Farzin et al.
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• Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions (2026)
  Akram Aldroubi
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• Achieving Linear Speedup for Composite Federated Learning (2026)
  Kun Huang et al.
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• Muon in Associative Memory Learning: Training Dynamics and Scaling Laws (2026)
  Binghui Li et al.
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• Step-Size Stability in Stochastic Optimization: A Theoretical Perspective (2026)
  Fabian Schaipp et al.
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• Constructing Industrial-Scale Optimization Modeling Benchmark (2026)
  Zhong Li et al.
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• Non-Euclidean Gradient Descent Operates at the Edge of Stability (2026)
  Rustem Islamov et al.
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• Enhancing LLM Training via Spectral Clipping (2026)
  Xiaowen Jiang et al.
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