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Ashok Makkuva

3 papers · 2019–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICML (2) AISTATS (1)

Top co-authors

Sewoong Oh (3) Sreeram Kannan (2) Pramod Viswanath (2) Jason Lee (1) Amirhossein Taghvaei (1)

Research topics

Deep Learning (3) Machine Learning (3) Architectures (3) Optimization & Theory · Machine Learning (2) Mathematics & Optimization (1) Core Methods (1) Learning Types (1) Models (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

gradient descent (2) optimal transport (1) sample complexity (1) expectation maximization (1) minimax optimization (1) parameter recovery (1) generative model (1) mixture of expert (1) consistency guarantee (1) convex function (1) gating mechanism (1) gated recurrent unit (1) input convex neural network (1) neural network (1) parameter estimation (1) optimal mapping (1)

Papers

Learning in Gated Neural Networks AISTATS 2020 Optimal transport mapping via input convex neural networks ICML 2020 Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms ICML 2019