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Reproduction: Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
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algorise
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updated a Space 17 days ago
algorise/repro-sinkhorn-normalization-of-diffusion-kernels published a Space 17 days ago
algorise/repro-sinkhorn-normalization-of-diffusion-kernels updated a Space 17 days ago
algorise/repro-linear-regression-with-unknown-truncation-beyond-gaussian-featuresOrganizations
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Reproduction: Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
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Reproduction: DC-LA: Difference-of-Convex Langevin Algorithm
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Reproduction: Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
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Reproduction: Flat Minima and Generalization: Insights from Stochastic Convex Optimization
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Reproduction: PACER: Acyclic Causal Discovery from Large-scale Interventional Data
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Reproduction: Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
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Reproduction: Complexity Bounds for Dirichlet Process Slice Samplers
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Reproduction: Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
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Reproduction: Data- and Variance-dependent Regret Bounds for Online Tabular MDPs
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Reproduction: Entropic Mirror Monte Carlo
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Reproduction: Equilibrium Pricing in Oligopolistic Data Markets
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Reproduction: General Analysis of LMO-based Optimizers: Beyond Bounded Variance
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Reproduction: Accelerated Dual Method for Distributed Optimization: An Inexact-Gradient View of Local Updates
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Reproduction: Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks
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Reproduction: Solving Stochastic Variational Inequalities without the Bounded Variance Assumption
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Reproduction: Accelerating Langevin Monte Carlo via Efficient Stochastic Runge-Kutta Methods beyond Log-Concavity
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Reproduction: Accelerated and Stable Convergence with Anchored Generalized Optimistic Method
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Reproduction: Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
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Reproduction: On the Convergence Rate of LoRA Gradient Descent
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Reproduction: The Pareto-optimal Trade-off between Regret and Statistical Inference in Linear Stochastic Bandits under Safety Constraints
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Reproduction: An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
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Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model
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Reproduction: Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
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