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4,660 records
- AdamX: Cosine similarity meets gradient descent
- Reinforcement Learning for Syndrome Extraction
- Deriving the Pure Price of Anarchy for Networked Resource Allocation Games
- Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative
- Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise
- Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
- A Catalogue of Properties of Binary Relations: Entailments, Incompatibilities, and Independence Results
- Computing Stationary Equilibria in Measure-Dependent Markov Systems
- Irreducible improper phi-regret in Lean
- Conditions for Global Optimality in Quantum Arimoto-Blahut Algorithms
- A practical DIRECT-type algorithm for medium-scale black-box global optimization
- Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
- Meta-LinEXP3: Online-within-Online Learning for Adversarial Linear Contextual Bandits
- Quantum MDS codes from complements of unions of finite-field subsets
- Minimum-makespan completion and vertex selection leave the Wang-Sitters constant at 11/6
- Joint nonlinearity in a stiffened aluminium wingbox panel and what it requires of a reduced basis
- On the Tightness of Standard Relaxations for Mixed-Integer Bilevel Linear Programs
- On the Limits of Quantum Multiparty Simultaneous Communication
- Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
- Subexponential Approximation of the Permanent in Deterministic Polynomial Time
- Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations
- Structural Properties of DomiRank Centrality: Symmetry Axioms, an Entropy Bound, and Spectral Interpolation
- Verified external-to-swap regret reduction and correlated-equilibrium solver
- Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
- Sparse Data Augmentation for Optimization with Provable Guarantees
- GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra
- Beyond Cut Balance: Spectral Sparsification of the Nonlinear Directed Laplacian
- An Elementary Proof of the $\widetilde O(n^{1/3})$ Bound for Separating Words
- Asymptotically good binary triorthogonal codes and higher-level transversal gates
- Finite-Modal Realization and Operator-Norm Convergence of a Source-to-Observation Electromagnetic Scattering Green Operator
- Adaptively Incorporating Directional Hints into Zeroth-Order Optimization
- Certified Topological Interaction in Neural Representations: Exact Tests and the Statistic They Require
- Linear programming bounds for binary and ternary LCD Codes
- PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise
- Graph-based automata
- High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression
- Sparse Walsh-Pauli Correlation Encoding for MaxCut: A Quantum-Inspired Formulation with Quantum-Hardware Validation
- Stability of Fork-Join Systems with Redundancy and Heterogeneous Servers
- On the Sequential Test and Distributed Detection
- Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader
- Decoupling Evidence Sources in Paraconsistent Logic: A Generalized PAL2v Framework for Educational Assessment
- pfoqcompiler: Efficient Compilation of Quantum Control in Recursive First-Order Quantum Programs
- Finite correlated equilibria and regret certificates
- Verified regret matching and finite-time equilibrium computation
- Learning Adaptive SED for heterogeneous load balancing
- Constrained Online Learning with Noisy Constraint Values
- Equivalence of Fixed-Rank and Rank-One Even-Order Symmetric Tensor Factorization
- Conditional Fisher-Information Central Limit Theorems under Log-Concavity with Information-Theoretic Consequences
- Kolmogorov--Arnold stability for discontinuous functions
- Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework