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Repro — Amortized Variational Inference for Partial-Label Learning (ViPll)
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Jansen Tang
ai-sherpa
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updated a Space about 3 hours ago
ai-sherpa/amortized-vi-partial-label-vipll-repro published a Space about 3 hours ago
ai-sherpa/amortized-vi-partial-label-vipll-repro updated a Space about 3 hours ago
ai-sherpa/source-screening-reproOrganizations
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Repro - On the Power of Source Screening for Learning Shared Feature Extractors
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Repro -- Interventional Processes For Causal Uncertainty Quantification (IMPspec)
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Repro - Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
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Repro -- Riemannian Networks over Full-Rank Correlation Matrices
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Repro - Stability Analysis of Sharpness-Aware Minimization
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Repro -- A Geometric Analysis of Small-sized Language Model Hallucinations
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Repro - tau2-Bench Dual-Control
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Repro - Deep Neural Network Regression with Functional Covariates
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Repro - Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
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Repro - The Role of Target Update Frequencies in Q-Learning
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Repro — Length Generalization Bounds for Transformers (C-RASP)
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Repro - Balancing Learning Rates Across Layers
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Repro — Convex Distance Operator Transport
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Repro - Adaptive Multi-Round Allocation with Stochastic Arrivals
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Repro — Rank-Learner: Orthogonal Ranking of Treatment Effects
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Repro - CATArena
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Repro - Beyond First-order Asymptotics in Sequential Mean Testing
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Repro - The (Marginal) Value of a Search Ad
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Repro - Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations
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Repro - Distributed Online Convex Optimization with Efficient Communication (compressed)
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Repro - A theory of learning data statistics in diffusion models, from easy to hard
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Repro — A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA
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Repro - Efficient Neural CDEs via Attentive Kernel Smoothing
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