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A Fully First-Order Layer for Differentiable Optimization
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Nate Mauer PRO
ParetoOptimal
AI & ML interests
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published an article 7 days ago
Publish, then improve: routing around the 20-Space cap published an article 7 days ago
Reproducing 147 Machine Learning Papers in 16 Days on One Workstation published an article 8 days ago
Waves, queues, and the three free gatesOrganizations
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On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis
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TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
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Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
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AvAtar: Learning to Align via Active Optimal Transport
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No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
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Stability Analysis of Sharpness-Aware Minimization
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On Structured State-Space Duality
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To Grok Grokking: Provable Grokking in Ridge Regression
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Positive Distribution Shift as a Framework for Understanding Tractable Learning
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Repro: Magnitude Distance
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Repro: Balancing LR
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RL for Reachability Asymptotic Optimality Reproduction
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Online Newton Nesterov Sketching Reproduction
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Adaptive Sensing Principal Eigenvector Reproduction
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Reproducing TD3B (ICML 2026)
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Repro: QuArch - A Benchmark for Evaluating LLM Reasoning in Computer Architecture
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Reproducing PlugMem (ICML 2026)
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Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
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Reproducing MASPOB (ICML 2026)
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Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
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Operator Splitting with Hamilton-Jacobi-based Proximals
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Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
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SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
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