Akash Jha PRO

AceVikings

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AceVikings/repro-minimum-distance-summaries-for-robust-neural-posterior-estimation

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AceVikings/repro-box-thirding-anytime-best-arm-identification-under-insufficient-sampling

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AceVikings/repro-31042-adagrad-notebook

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Reproduction: Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation

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Reproduction: PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training

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Reproduction: Box Thirding: Anytime Best Arm Identification under Insufficient Sampling

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Reproduction: Minimum Distance Summaries for Robust Neural Posterior Estimation

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AdaGrad under Heavy-Tailed Noise — three-claim rejudge

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Safety-Efficacy Dilemma in Data Poisoning — three-claim rejudge

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Reproduction: Riemannian Dueling Optimization

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Ski Rental with Distributional Predictions of Unknown Quality

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Reproduction: Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation

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Reproduction: Universal Representation of Generalized Convex Functions and their Gradients

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Reproduction: Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

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Reproduction: Fast Estimation for Forest Matrix of Signed Graphs

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Reproduction: On Densest $k$-Subgraph Mining and Diagonal Loading: Optimization Landscape and Finite-Step Exact Convergence Analysis

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Reproduction: An Exterior Method for Nonnegative Matrix Factorization

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Reproduction: Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation

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Reproduction: Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection

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Reproduction: Gradient Flow Sampler-based Distributionally Robust Optimization

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Reproduction: Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization

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Reproduction: BFTS: Thompson Sampling with Bayesian Additive Regression Trees

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Reproduction: Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

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Reproduction: Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds

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Reproduction: Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation

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Reproduction: Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification

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Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets

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