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Reproduction: Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
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tang zhi xiong
lastmass
AI & ML interests
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Recent Activity
updated a collection 3 days ago
ICML 2026 Agent Reproductions updated a collection 3 days ago
ICML 2026 Agent Reproductions updated a collection 3 days ago
ICML 2026 Agent ReproductionsOrganizations
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Reproduction: General Synthetic-Powered Inference
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Reproduction: Rotary Position Encodings for Graphs
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Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets
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Reproduction: Well-Posed KL-Regularized Control via Wasserstein and Kalman–Wasserstein KL Divergences
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Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models
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Reproduction: Mixtures Closest To A Given Measure: A Semidefinite Programming Approach
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Reproduction: Inference of Online Newton Methods with Nesterov's Accelerated Sketching
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Reproduction: AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
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Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
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Repro: Statistical Consistency of Contrastive Representation Learning
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Repro - Optimal RDP to f-DP Conversion
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Repro - Inductive Bias of Isolation Forest
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Repro: HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
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Repro: Asymptotically Optimal Sequential Testing with Markovian Data
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Repro: Exact Functional ANOVA Decomposition for Categorical Inputs Models
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Repro - Fair and Robust Regression
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Track and share regression experiment results in a logbook
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Repro - Spectral Knowledge Transfer
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Repro - Dropout Universality
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Repro - Finding Most Influential Sets
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Repro - On the Coordination of Value-Maximizing Bidders
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Repro - Let the Prototype Guide You: PTBCC
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Repro - On Structured State-Space Duality
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Repro - The Role of Target Update Frequencies in Q-Learning
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