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Tahsin Rahit

rahit

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https://tahsinrahit.com

AI & ML interests

Multimodal application in healthcare/oncology!

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updated a Space about 19 hours ago

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

published a Space about 19 hours ago

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

updated a Space about 19 hours ago

rahit/repro-positive-distribution-shift-as-a-framework-for-understanding-tractable-learning

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Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

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Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning

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Reproduction: (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

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Reproduction: Online Robust Reinforcement Learning with General Function Approximation

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Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

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Reproduction: Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

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Tahsin Rahit

AI & ML interests

Recent Activity

Organizations

buckets 161

rahit/repro-positive-distribution-shift-as-a-framework-for-understanding-tractable-learning-artifacts

rahit/repro-online-robust-reinforcement-learning-with-general-function-approximation-artifacts

rahit/sd-ridge-tmp-artifact-bucket-6

rahit/repro-emergent-alignment-via-competition-artifacts

rahit/repro-theoretical-challenges-in-learning-for-branch-and-cut-artifacts

rahit/g7le-tmp-artifact-bucket-3

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Peng-AI/hescape-pyarrow

Peng-AI/hescape-pyarrow

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Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning

Reproduction: (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

Reproduction: Online Robust Reinforcement Learning with General Function Approximation

Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

Reproduction: Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

models 0

datasets 0

Tahsin Rahit

AI & ML interests

Recent Activity

Organizations

buckets 161 Sort: Recently updated

rahit/repro-positive-distribution-shift-as-a-framework-for-understanding-tractable-learning-artifacts

rahit/repro-online-robust-reinforcement-learning-with-general-function-approximation-artifacts

rahit/sd-ridge-tmp-artifact-bucket-6

rahit/repro-emergent-alignment-via-competition-artifacts

rahit/repro-theoretical-challenges-in-learning-for-branch-and-cut-artifacts

rahit/g7le-tmp-artifact-bucket-3

Collections 1

spaces 111 Sort: Recently updated

Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning

Reproduction: (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

Reproduction: Online Robust Reinforcement Learning with General Function Approximation

Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

Reproduction: Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks

models 0

datasets 0

buckets 161

spaces 111