Repro - Causal Modeling of Selection in Evolution
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Sahil Kadadekar
Crusadersk
·
AI & ML interests
LLM inference, quantization, refusal robustness, model evaluation, GPU serving, batching effects, post-training, MLOps, AI safety. Reports: https://chimeraforge.vercel.app/reports
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updated a Space 5 days ago
Crusadersk/icml26-row-stochastic-decentralized-repro published a Space 5 days ago
Crusadersk/icml26-row-stochastic-decentralized-repro updated a Space 5 days ago
Crusadersk/icml26-llm-as-judge-scaling-reproOrganizations
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Repro - Foundations of Equivariant Deep Learning
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Repro - Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
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Repro - Prior Diffusiveness and Regret in the Linear-Gaussian Bandit
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Repro - Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
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Repro - DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
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Repro - Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
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Repro - Improved Convergence Analysis of Topology Dependence in Decentralized SGD
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Spaces 7 days ago
Repro - Towards Understanding Adam Convergence on Highly Degenerate Polynomials
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Repro - Stochastic Linear Bandits with Parameter Noise
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Repro - Model Fusion via Retrofitting
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Repro - Accelerated and Stable Convergence with Anchored Generalized Optimistic Method
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Repro - Design-Based Anytime-Valid Inference for Randomized Experiments with Delayed Outcomes and Staggered Entry
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Repro - Beyond Softmax: A Natural Parameterization for Categorical Random Variables
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Repro - Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality
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Repro - Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
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Repro - Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
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Repro - Nonparametric Distribution Regression Re-calibration
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Repro - Online Packet Scheduling with Deadlines and Learning
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Repro - Quadratically Regularized Optimal Transport: Localization Bounds and Affine Case Analysis
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