DineshAI (Dinesh Jinjala)

Weak-to-strong RF ridge — reproducibility gate

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Repro - To Grok Grokking: Provable Grokking in Ridge Regression

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Repro - Interpolation and Aggregation in Regression

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Repro - Federated Causal Inference on Multi-Site Observational Data

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Repro - Unifying Low Dimensional Spectra in Deep Learning

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Repro - Budgeted Active Experimentation (arXiv 2602.22021)

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Repro - Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Optimization

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Reproduction: Enhancing Affine Maximizer Auctions with Correlation-Aware Payment

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Repro - Linear Regression with Unknown Truncation Beyond Gaussian Features

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Repro - APUB Stochastic Optimization (arXiv 2403.08966)

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Repro - Exact Functional ANOVA Decomposition

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Repro - ShaplEIG (Bayesian Design for Shapley)

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Repro - Momentum SGD under Nonstationary Drift

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Repro - Diffusion Flow Matching: Dimension-Improved KL Bounds

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Reproduction: nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding

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Repro - Sinkhorn Normalization of Diffusion Kernels (arXiv 2507.06161)

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Repro - Context = Rank-1 Weight Patches

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Repro - On the Power of Approximate Reward Models for Inference-Time Scaling

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Repro - Efficiently Learning Drifting Halfspaces with Massart Noise

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Repro - Welfare-Optimal Classification with Accuracy Auctions

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Repro - ECL Calibration under Covariate Shift (gFPPTokv9C)

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Repro - Online Packet Scheduling with Deadlines and Learning

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Repro - Let the Prototype Guide You: PTBCC

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Repro - Compact Conformal Subgraphs

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Dinesh Jinjala

AI & ML interests

Organizations

DineshAI 's Spaces 299

Weak-to-strong RF ridge — reproducibility gate

Repro - To Grok Grokking: Provable Grokking in Ridge Regression

Repro - Interpolation and Aggregation in Regression

Repro - Federated Causal Inference on Multi-Site Observational Data

Repro - Unifying Low Dimensional Spectra in Deep Learning

Repro - Budgeted Active Experimentation (arXiv 2602.22021)

Repro - Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Optimization

Reproduction: Enhancing Affine Maximizer Auctions with Correlation-Aware Payment

Repro - Linear Regression with Unknown Truncation Beyond Gaussian Features

Repro - APUB Stochastic Optimization (arXiv 2403.08966)

Repro - Exact Functional ANOVA Decomposition

Repro - ShaplEIG (Bayesian Design for Shapley)

Repro - Momentum SGD under Nonstationary Drift

Repro - Diffusion Flow Matching: Dimension-Improved KL Bounds

Reproduction: nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding

Repro - Sinkhorn Normalization of Diffusion Kernels (arXiv 2507.06161)

Repro - Context = Rank-1 Weight Patches

Repro - On the Power of Approximate Reward Models for Inference-Time Scaling

Repro - Efficiently Learning Drifting Halfspaces with Massart Noise

Repro - Welfare-Optimal Classification with Accuracy Auctions

Repro - ECL Calibration under Covariate Shift (gFPPTokv9C)

Repro - Online Packet Scheduling with Deadlines and Learning

Repro - Let the Prototype Guide You: PTBCC

Repro - Compact Conformal Subgraphs

Dinesh Jinjala

AI & ML interests

Organizations

DineshAI 's Spaces 299 Sort: Recently updated

Weak-to-strong RF ridge — reproducibility gate

Repro - To Grok Grokking: Provable Grokking in Ridge Regression

Repro - Interpolation and Aggregation in Regression

Repro - Federated Causal Inference on Multi-Site Observational Data

Repro - Unifying Low Dimensional Spectra in Deep Learning

Repro - Budgeted Active Experimentation (arXiv 2602.22021)

Repro - Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Optimization

Reproduction: Enhancing Affine Maximizer Auctions with Correlation-Aware Payment

Repro - Linear Regression with Unknown Truncation Beyond Gaussian Features

Repro - APUB Stochastic Optimization (arXiv 2403.08966)

Repro - Exact Functional ANOVA Decomposition

Repro - ShaplEIG (Bayesian Design for Shapley)

Repro - Momentum SGD under Nonstationary Drift

Repro - Diffusion Flow Matching: Dimension-Improved KL Bounds

Reproduction: nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding

Repro - Sinkhorn Normalization of Diffusion Kernels (arXiv 2507.06161)

Repro - Context = Rank-1 Weight Patches

Repro - On the Power of Approximate Reward Models for Inference-Time Scaling

Repro - Efficiently Learning Drifting Halfspaces with Massart Noise

Repro - Welfare-Optimal Classification with Accuracy Auctions

Repro - ECL Calibration under Covariate Shift (gFPPTokv9C)

Repro - Online Packet Scheduling with Deadlines and Learning

Repro - Let the Prototype Guide You: PTBCC

Repro - Compact Conformal Subgraphs

DineshAI 's Spaces 299