Ta-Chu Kao

5 papers · 2020–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

NeurIPS (3) ICLR (2)

Top co-authors

Guillaume Hennequin (4) Kristopher Jensen (3) Ted Moskovitz (1) Kristopher T Jensen (1) Jasmine Stone (1) Gido van de Ven (1) Marco Tripodi (1) Alberto Bernacchia (1) Maneesh Sahani (1) Matthew Botvinick (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Artificial Intelligence (3) Bayesian & Probabilistic (3) Deep Learning (2) Core Methods (2) Reinforcement Learning (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1) Models (1)

Keywords

gaussian process (2) variational inference (2) bayesian inference (2) latent variable model (2) manifold learning (1) bayesian regularization (1) epistemic uncertainty (1) automatic relevance determination (1) continuous control (1) weight regularization (1) minimum description length (1) projected gradient descent (1) dynamical system (1) variational autoencoder (1) control theory (1) latent dynamics (1) neural data (1) gradient projection (1) multi-task reinforcement learning (1) factor analysis (1)

Papers

Minimum Description Length Control ICLR 2023 iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data ICLR 2022 Natural continual learning: success is a journey, not (just) a destination NeurIPS 2021 Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NeurIPS 2021 Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NeurIPS 2020