🤝 Open to Collab

Tahsin Rahit

rahit

1 1 3

https://tahsinrahit.com

AI & ML interests

Multimodal application in healthcare/oncology!

Recent Activity

upvoted a collection 7 days ago

Fanar 2.0

updated a Space 15 days ago

rahit/repro-the-implicit-bias-of-steepest-descent-with-mini-batch-stochastic-gradient

published a Space 15 days ago

rahit/repro-the-implicit-bias-of-steepest-descent-with-mini-batch-stochastic-gradient

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rahit 's Spaces 111

Reproduction: Distributed Direct Preference Optimization

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Reproduction: Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming

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Reproduction: The Implicit Bias of Depth: From Neural Collapse to Softmax Codes

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Reproduction: Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models

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Reproduction: Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning

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Reproduction: Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms

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Reproduction: Sampling and Identity-Testing Without Approximate Tensorization of Entropy

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Reproduction: Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

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Reproduction: Allocating Variance to Maximize Expectation

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Reproduction: Improved Scaling Laws via Weak-to-Strong Generalization in Random Features Ridge Regression

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

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Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models

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Reproduction: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

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Reproduction: Sinkhorn Treatment Effects: A Causal Optimal Transport Measure

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Reproduction: Linear Regression with Unknown Truncation Beyond Gaussian Features

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Reproduction: Adaptively Robust Resettable Streaming

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Reproduction: Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?

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Reproduction: Online Packet Scheduling with Deadlines and Learning

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Reproduction: Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds

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Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks

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Reproduction: On the Computational Complexity of Performative Prediction

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