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Every paper Pith has read. Search by title, abstract, or pith.
2292 papers in math.OC · page 5
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Hybrid momentum Frank-Wolfe reaches optimal rate for Lipschitz outer functions
Stochastic Compositional Optimization via Hybrid Momentum Frank--Wolfe
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Normalized momentum SGD converges under quadratic noise growth
Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise
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Operator networks approximate nonlinear operators and their derivatives
Universal Approximation of Nonlinear Operators and Their Derivatives
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One eigenvector certifies graph conformal rigidity
Conformal Rigidity of Graphs: Subdifferentials and Orbit-Isometries
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The paper introduces ICGPS, which uses meta-trained generative models for in-context…
In-Context Learning for Data-Driven Censored Inventory Control
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Absorbing Markov chain ranks central nodes under edge uncertainty
Betweenness Central Nodes Under Uncertainty: An Absorbing Markov Chain Approach
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PyCSP3 Scheduling compiles abstractions to standard constraints
PyCSP3-Scheduling: A Scheduling Extension for PyCSP3
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Closed forms for portfolios with hidden drift in mean-field games
On the optimal portfolio problem with partial information and related mean field games with relative performance criteria
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Knapsack model lifts retail sales 11.8 percent on average
OPTIMUS: Optimization Productivity Tool for Intelligent Management of Utilizable Space
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Everywhere regularity in bilevel problems is non-prevalent
On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem
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Optimization finds optimal symbolic rules for classification
Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
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Damped beam reaches rest from boundary for all ρ ≤ 2 and almost all larger ρ
Boundary null-controllability for the beam equation with classical structural damping
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Model-based curricula speed motor skill learning by 23%
Automated Curriculum Design for High-dimensional Human Motor Learning
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Entropy regularization yields equilibria for time-inconsistent games
Equilibrium for Time-inconsistent Mean Field Games: A Systematic Analysis by Entropy Regularization
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The paper shows that discrete sequences from difference inclusions converge if the…
Convergence of difference inclusions via a diameter criterion
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Single trained operator solves multi-agent control in sub-seconds
PI-SONet: A Physics-Informed Symplectic Operator Network for Real-Time Optimal Control of Multi-Agent Systems
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Optimal rate O(k^{2/(1-q)}) holds for any ℓ_p norm
Convergence Rates for $\ell_p$ Norm Minimization in Convex Vector Optimization
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Any ℓ_p norm matches optimal rate in vector optimization
Convergence Rates for $\ell_p$ Norm Minimization in Convex Vector Optimization
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Adaptive metrics boost convergence in vector optimization approximation
Adaptive Metrics for Norm-Minimization-Based Outer Approximation in Convex Vector Optimization
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Mixed gradients keep RL unbiased in hybrid discrete-continuous spaces
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
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Nonlinear regularizer restores strong duality in dual decomposition
Generalized Dual Decomposition
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Endogenous trust cuts misinformation impact by 91% above threshold
Day-to-Day Traffic Network Modeling under Route-Guidance Misinformation: Endogenous Trust and Resilience in CAV Environments
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Grassmannian random walks reach global minima of continuous functions
Stochastic global optimization of continuous functions via random walks on Grassmannians
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Vector balancing value converges to Brownian steering limit
The Mean-Field Limit of Online Stochastic Vector Balancing
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Regional networks cut fulfillment delays
Improved Speed via Regional Fulfillment
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Penalized heat controls converge to hard terminal states at rate O(1/alpha)
Quantitative Soft-to-Hard Terminal Constraint Convergence for the Heat Equation
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Non-convex solvers find exact nonnegative ranks for some matrices
Computing Lower Bounds on the Nonnegative Rank via Non-Convex Optimization Solvers
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Min-max optimization needs exponentially many queries
Min-Max Optimization Requires Exponentially Many Queries
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Kuramoto game equilibria are unique above critical strength
Uniqueness of synchronized stationary equilibria in the Kuramoto mean field game
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Affiliation with finite von Neumann algebra yields time-optimal controls
Affiliated operators for classical and quantum control
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Grover phases deviate from pi near success probability 1
Phase Matching for a Generalized Grover's Algorithm
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TinySDP runs real-time SDP on microcontrollers for robot control
TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics
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Single-loop actor-critic hits Õ(ε^{-2}) sample rate
Achieving $\epsilon^{-2}$ Sample Complexity for Single-Loop Actor-Critic under Minimal Assumptions
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Layered weights isolate first-front ascent in multiobjective sets
Nonsmooth Set-Gradient Ascent to the Pareto Front via Layered Hypervolume and Magnitude Indicators
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Rescaled stepsizes remove bias in async SGD
Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity
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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
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Delight gate decides when to explore and reduces regret growth
Delightful Exploration
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The paper proposes a proximal-based generative modeling (PGM) framework for Bayesian…
Proximal-Based Generative Modeling for Bayesian Inverse Problems
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Voltage-aware grid aggregation preserves 70% of transformer costs
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
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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
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Underdamped dynamics accelerate Wasserstein free-energy minimization
Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
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Underdamped Langevin dynamics accelerate Wasserstein minimization
Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
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Underdamped Langevin accelerates Wasserstein flows to Nesterov rate
Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
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Underdamped Langevin achieves Nesterov acceleration in Wasserstein space
Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
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Algorithm finds exact NHL playoff clinch paths n days ahead
A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL
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Tree search finds which NHL outcomes clinch playoffs in n days
A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL
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D-optimal irregular sampling boosts FRF estimate accuracy
D-Optimized Sampling Design for System Identification
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AI data center heat can drive net carbon removal
Recasting AI Data Centers as Engines for Carbon Removal
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Pareto optima lie inside feedback guaranteed-cost class
Guaranteed cost structured control in infinite-horizon linear-quadratic cooperative differential games
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Small offline module speeds diffusion inpainting
Amortized Guidance for Image Inpainting with Pretrained Diffusion Models