DineshAI (Dinesh Jinjala)

Repro - Ordinal Similarity Indices

📐

Explore ordinal similarity logs and sync with an AI agent

Conformal C2ST: exact finite-sample randomized ranks

🎯

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Repro - Magnitude Distance (arXiv 2602.08859)

🎯

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Repro - Anytime Detection of Strategic Deviations in Multi-Agent Systems

🎯

Track strategic deviations in multi‑agent systems

Repro - The Optimal Sample Complexity of Linear Contracts

🎯

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Repro - Dynamic Programming for Epistemic Uncertainty in MDPs

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Collaborate on a shared logbook with your coding agent

Repro - Optimal Regularization for Performative Learning (G4ve69pimc)

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Repro - TRIAD Spherical Bispectrum (SBfIuo2Ets)

🌐

Track and share experiment notes with a coding agent

Repro - Do-Calculus Derivation Graphs

🎯

Explore interactive Do‑Calculus derivation graphs

Repro - Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting (VnA5q5jXVz)

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Repro - MAPF via Multi-Marginal OT

🤖

Track and organize experiment notes with agent collaboration

Repro - Bulk-Calibrated Credal Ambiguity Sets (DRO)

🛡

Browse and collaborate on a research logbook

Repro - Exactly Computing do-Shapley Values

🎲

Explore exact Shapley value logs and sync with your coding agent

Repro - Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables

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Repro - Fair Optimal Transport (FairSinkhorn)

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Track and share your FairSinkhorn experiment findings

Repro - Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

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Repro - Fair Sufficient Decisions

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Repro - Gaussian Mean Field VI Predictive Variance

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Repro - Ski Rental with Distributional Predictions of Unknown Quality (h8NydU966G)

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Log experiments and sync findings with an AI agent

Repro - Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator (Ol99zoW31J)

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Repro - Autoregressive Language Models are Secretly Energy-Based Models

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Reproduction: Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning

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Repro - Fine-Tuning Without Forgetting In-Context Learning (jl2f2Y3iuC)

🎯

Track and share AI experiment notes in a collaborative logbook

Repro - Maximin Relative Improvement

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Dinesh Jinjala

AI & ML interests

Organizations

DineshAI 's Spaces 299

Repro - Ordinal Similarity Indices

Conformal C2ST: exact finite-sample randomized ranks

Repro - Magnitude Distance (arXiv 2602.08859)

Repro - Anytime Detection of Strategic Deviations in Multi-Agent Systems

Repro - The Optimal Sample Complexity of Linear Contracts

Repro - Dynamic Programming for Epistemic Uncertainty in MDPs

Repro - Optimal Regularization for Performative Learning (G4ve69pimc)

Repro - TRIAD Spherical Bispectrum (SBfIuo2Ets)

Repro - Do-Calculus Derivation Graphs

Repro - Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting (VnA5q5jXVz)

Repro - MAPF via Multi-Marginal OT

Repro - Bulk-Calibrated Credal Ambiguity Sets (DRO)

Repro - Exactly Computing do-Shapley Values

Repro - Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables

Repro - Fair Optimal Transport (FairSinkhorn)

Repro - Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Repro - Fair Sufficient Decisions

Repro - Gaussian Mean Field VI Predictive Variance

Repro - Ski Rental with Distributional Predictions of Unknown Quality (h8NydU966G)

Repro - Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator (Ol99zoW31J)

Repro - Autoregressive Language Models are Secretly Energy-Based Models

Reproduction: Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning

Repro - Fine-Tuning Without Forgetting In-Context Learning (jl2f2Y3iuC)

Repro - Maximin Relative Improvement

Dinesh Jinjala

AI & ML interests

Organizations

DineshAI 's Spaces 299 Sort: Recently updated

Repro - Ordinal Similarity Indices

Conformal C2ST: exact finite-sample randomized ranks

Repro - Magnitude Distance (arXiv 2602.08859)

Repro - Anytime Detection of Strategic Deviations in Multi-Agent Systems

Repro - The Optimal Sample Complexity of Linear Contracts

Repro - Dynamic Programming for Epistemic Uncertainty in MDPs

Repro - Optimal Regularization for Performative Learning (G4ve69pimc)

Repro - TRIAD Spherical Bispectrum (SBfIuo2Ets)

Repro - Do-Calculus Derivation Graphs

Repro - Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting (VnA5q5jXVz)

Repro - MAPF via Multi-Marginal OT

Repro - Bulk-Calibrated Credal Ambiguity Sets (DRO)

Repro - Exactly Computing do-Shapley Values

Repro - Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables

Repro - Fair Optimal Transport (FairSinkhorn)

Repro - Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Repro - Fair Sufficient Decisions

Repro - Gaussian Mean Field VI Predictive Variance

Repro - Ski Rental with Distributional Predictions of Unknown Quality (h8NydU966G)

Repro - Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator (Ol99zoW31J)

Repro - Autoregressive Language Models are Secretly Energy-Based Models

Reproduction: Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning

Repro - Fine-Tuning Without Forgetting In-Context Learning (jl2f2Y3iuC)

Repro - Maximin Relative Improvement

DineshAI 's Spaces 299