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Reproduction: Success-Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
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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: Flatness-Aware Stochastic Gradient Langevin Dynamics
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Reproduction: Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation
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Reproduction: Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
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Reproduction: Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms
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Reproduction: All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension
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Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
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Reproduction: Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
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Reproduction: (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
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Reproduction: Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients
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Reproduction: Complexity of Decentralized Optimization with Mixed Affine Constraints
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Reproduction: On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
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Reproduction: Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond
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Reproduction: From Optimization to Generalization under Heavy-Tailed Data: The Role of Gradient Clipping
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Reproduction: Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence
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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
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Reproduction: Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
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Reproduction: Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
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Reproduction: Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
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Repro Sampled Lds
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Reproduction: From geometry to dynamics: Learning overdamped Langevin dynamics from sparse observations with geometric constraints
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Reproduction: Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
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Reproduction: Rotary Position Encodings for Graphs
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Reproduction: Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence
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