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algorise

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algorise/repro-sinkhorn-normalization-of-diffusion-kernels

published a Space 17 days ago

algorise/repro-sinkhorn-normalization-of-diffusion-kernels

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algorise/repro-linear-regression-with-unknown-truncation-beyond-gaussian-features

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algorise 's Spaces 204

Reproduction: Lower Bounds for Frank-Wolfe on Strongly Convex Sets

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Reproduction: The Cost of Information: Phase Transitions in Contextual Bandits with Paid Observations

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Reproduction: Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers

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Reproduction: Multi-Label Test-Time Adaptation with Bayesian Conditional Priors

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Reproduction: A Perturbation Approach to Unconstrained Linear Bandits

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

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Reproduction: Reflective Hamiltonian Monte Carlo: Mixing Analysis and Application to Sampling on Stiefel Manifold

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Reproduction: PCA of Probability Measures: Sparse and Dense Sampling Regimes

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Reproduction: Maximum Likelihood Reinforcement Learning

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Reproduction: Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere

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Reproduction: Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch

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Reproduction: Solving Imperfect-Recall Games via Sum-of-Squares Optimization

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Reproduction: Conditional Equivalence of DPO and RLHF: Assumptions, Failure Modes, and Provable Alignment

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Reproduction: Optimal Regret for Policy Optimization in Contextual Bandits

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Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It

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Reproduction: Improved Distribution Estimation in ℓ-infinity

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

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Reproduction: Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

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Reproduction: On the Convergence of Decentralized Stochastic Minimax Optimization Algorithm with Compressed Communication

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Reproduction: Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

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Reproduction: Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

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Reproduction: Stochastic Linear Bandits with Parameter Noise

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Reproduction: Stochastic Gradient Methods under Heavy-Tailed Noises in Weakly Convex Optimization

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Reproduction: Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference

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