Akash Jha

AceVikings

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AceVikings/repro-scalable-and-interpretable-representation-alignment-with-ordinal-similarity

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AceVikings/repro-ultralif-fully-differentiable-spiking-neural-networks-via-ultradiscretization-and-max

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AceVikings/repro-conditional-equivalence-of-dpo-and-rlhf-assumptions-failure-modes-and-provable-alignme

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AceVikings 's Spaces 101

Reproduction: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization

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Reproduction: Exploiting weight-space symmetries for approximating curvature

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

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Reproduction: Balancing Learning Rates Across Layers

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Reproduction: A theory of learning data statistics in diffusion models, from easy to hard

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Reproduction: All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension

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Reproduction: Revisiting Neural Processes via Fourier Transform and Volterra Series

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Reproduction: Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression

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Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift

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Reproduction: Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation

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Reproduction: Explanations are a Means to an End: Decision Theoretic Explanation Evaluation

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Understanding Generalization and Forgetting in In-Context Continual Learning

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Reproduction: Conditional Coverage Diagnostics for Conformal Prediction

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Self-Training Risk Recursions — CPU Reproduction

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Reproduction: Multivariate Distributional Reinforcement Learning Using Sliced Divergences

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Reproduction: Towards Understanding Adam Convergence on Highly Degenerate Polynomials

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Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes

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Reproduction: Neural Low-Discrepancy Sequences

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Reproduction: Parametrized Power-Iteration Clustering for Directed Graphs

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Reproduction: Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes

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Reproduction: Causal Discovery for Irregularly Time Series with Consistency Guarantees

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Reproduction: Skewness-Robust Causal Discovery in Location-Scale Noise Models

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Reproduction: The Theory and Practice of MAP Inference over Non-Convex Constraints

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