Online Semi-Supervised Learning on Quantized Graphs
Paper • 1203.3522 • Published
Michal Valko
misovalko
AI & ML interests
large language models, reasoning, fine-tuning, test-time computation, reinforcement learning with human feedback, world models
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authored a paper about 20 hours ago
Online Semi-Supervised Learning on Quantized Graphs authored a paper about 20 hours ago
Derivative-Free & Order-Robust Optimisation authored a paper about 20 hours ago
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumptionOrganizations
authored 9
papers about 20 hours ago
Derivative-Free & Order-Robust Optimisation
Paper • 1910.04034 • Published
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption
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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
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Compressing the Input for CNNs with the First-Order Scattering Transform
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Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
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Analysis of Kelner and Levin graph sparsification algorithm for a streaming setting
Paper • 1609.03769 • Published
Finite-Time Analysis of Kernelised Contextual Bandits
Paper • 1309.6869 • Published
Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning
Paper • 1601.05675 • Published
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authored 8
papers 4 months ago
Optimal Design for Reward Modeling in RLHF
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Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
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KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
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Local and adaptive mirror descents in extensive-form games
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Model-free Posterior Sampling via Learning Rate Randomization
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Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
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DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
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A New Bound on the Cumulant Generating Function of Dirichlet Processes
Paper • 2409.18621 • Published