archive
Every paper Pith has read. Search by title, abstract, or pith.
980 papers in math.OC · page 1
-
Min-max optimization needs exponentially many queries
Min-Max Optimization Requires Exponentially Many Queries
-
Kuramoto game equilibria are unique above critical strength
Uniqueness of synchronized stationary equilibria in the Kuramoto mean field game
-
Affiliation with finite von Neumann algebra yields time-optimal controls
Affiliated operators for classical and quantum control
-
Grover phases deviate from pi near success probability 1
Phase Matching for a Generalized Grover's Algorithm
-
Layered weights isolate first-front ascent in multiobjective sets
Nonsmooth Set-Gradient Ascent to the Pareto Front via Layered Hypervolume and Magnitude Indicators
-
Trust signal guides sparse search in large-scale multi-objective problems
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
-
The paper proposes a proximal-based generative modeling (PGM) framework for Bayesian…
Proximal-Based Generative Modeling for Bayesian Inverse Problems
-
Voltage-aware grid aggregation preserves 70% of transformer costs
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
-
Convexity yields closed-loop controls in indefinite jump LQ problems
Indefinite Stochastic Linear-Quadratic Optimal Control Problems with Random Coefficients and Poisson Jumps: Closed-Loop Representation of Open-Loop Optimal Controls
-
Underdamped Langevin achieves Nesterov acceleration in Wasserstein space
Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
-
AI data center heat can drive net carbon removal
Recasting AI Data Centers as Engines for Carbon Removal
-
Pareto optima lie inside feedback guaranteed-cost class
Guaranteed cost structured control in infinite-horizon linear-quadratic cooperative differential games
-
Value functions solve unique non-autonomous HJBI equations
Infinite-Horizon Non-Autonomous Zero-Sum Stochastic Recursive Differential Games and HJBI Equations
-
Adam variant converges without monotonic second-moment assumption
Adam-SHANG: A Convergent Adam-Type Method for Stochastic Smooth Convex Optimization
-
Alternation cuts cost in multi-objective stochastic optimization
Stochastic block coordinate and function alternation for multi-objective optimization and learning
-
Bootstrap yields valid CIs for offline RL value functions
Model-based Bootstrap of Controlled Markov Chains
-
Abnormal extremals imply finite symmetries for distributions
Generalized pseudo-product structures and finite type distributions via abnormal extremals
-
Mixed scores in diffusion reduce to geometric potential
Geometric Asymptotics of Score Mixing and Guidance in Diffusion Models
-
Dynamical systems converge strongly to min-norm saddle solutions
Convergence Analysis of Hessian-Damped Tikhonov Regularized Dynamics with Oscillation Control for Convex-Concave Bilinear Saddle Point Problems
-
SDP hierarchy solves quaternion polynomial optimization to global optimum
A Moment-QSOS Hierarchy for a Class of Quaternion Polynomial Optimization Problems
-
Complex coupling reconstructs unknown Robin boundaries
Cavity shape reconstruction with a homogeneous Robin condition via a constrained coupled complex boundary method with ADMM
-
Python package splits network reduction into partition then aggregate steps
NPAP: Network Partitioning and Aggregation Package for Python
-
ISS open problem resolved via structured maximal regularity
Implications of structured continuous maximal regularity
-
Stability bounds enable point-source gas leak recovery
Leak localisation with a measure source convection-diffusion model
-
Self-exciting SDE control obeys a stochastic maximum principle
Stochastic control with self-exciting processes
-
Funnel control guarantees error bounds for drill bit velocity
Analysis and funnel control for nonlinear drill strings
-
Diversified routes nullify correlation value in energy resilience
Securing the Flow: Maritime Energy Resilience under Correlated and Decision-Dependent Disruptions
-
Generative tilting recovers EOT plans for new marginals from reference samples
Generative Transfer for Entropic Optimal Transport with Unknown Costs
-
ZOPPA converges at fixed temperature via smoothed proximal point
Convergence of zeroth-order proximal point algorithms in the high-temperature regime
-
Spectral preconditioning converges for nonconvex constrained optimization
Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
-
Spectral clipping achieves optimal rate for heavy-tailed SGD
Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters
-
Proximal limited-memory quasi-Newton converges globally for nonconvex problems
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
-
Neumann boundary data observe waves on gas giant metrics
Boundary observability for gas giant metrics
-
Strong duality holds for weakly communicating average-reward CMDPs
Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret
-
HS-Jacobian lets Adam train neural nets with linear constraints
Efficient and provably convergent end-to-end training of deep neural networks with linear constraints
-
Barrier smoothing yields O(K^{-2/3}) stationarity for constrained bilevel opt
A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization
-
DNN relaxation exact for random quadratics with high probability
Exactness of the DNN Relaxation for Random Standard Quadratic Programs
-
Schrödinger bridge solves sub-Riemannian optimal transport
From Schrodinger Bridge to Optimal Transport over Sub-Riemannian Manifolds
-
Certificate establishes exact worst-case rate for gradient descent when N >= 3
The Grimmer-Shu-Wang Certificate and the Drori-Teboulle Minimax Nonnegative Constant-Stepsize Bound for N >= 3
-
Reputation learning closes loop on Byzantine consensus
Byzantine-Resilient Consensus via Active Reputation Learning
-
Gauss-Newton whitens errors to outperform Newton
Error whitening: Why Gauss-Newton outperforms Newton
-
Quotient symmetry fixes distributional average-reward RL
Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning
-
Mirror descent computes exact barycenters for discrete and continuous measures
A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures
-
Random spectra match Muon on GPT-2 training
Muon is Not That Special: Random or Inverted Spectra Work Just as Well
-
Separable estimators tighten relaxations beyond McCormick
Relaxation via Separable Estimators: Arithmetic and Implementation
-
Projected JSR can be strictly smaller than γ for deflated Q-VI
Switching-Geometry Analysis of Deflated Q-Value Iteration
-
Single network solves optimal transport via proximal fixed points
Fixed-Point Neural Optimal Transport without Implicit Differentiation
-
Gradient descent reaches only global minima in wide shallow nets
On the global convergence of gradient descent for wide shallow models with bounded nonlinearities
-
Decentralized MPC with safe sets guarantees multi-agent collision avoidance
Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
-
Exponential bound proven for LCP sufficient-matrix handicaps
Handicap reduction for linear complementarity problems