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07/24/2023
Open Problem: Polynomial linearly-convergent method for geodesically convex optimization?
Let f ℳ→ℝ be a Lipschitz and geodesically convex function defined on a d...
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05/25/2023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
In this work, we study optimization problems of the form min_x max_y f(x...
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11/26/2022
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
We propose a globally-accelerated, first-order method for the optimizati...
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12/07/2020
Acceleration in Hyperbolic and Spherical Spaces
We further research on the acceleration phenomenon on Riemannian manifol...
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09/25/2019
Neural networks are a priori biased towards Boolean functions with low entropy
Understanding the inductive bias of neural networks is critical to expla...
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01/24/2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
We introduce a novel approach to perform first-order optimization with o...
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10/10/2018
Decentralized Cooperative Stochastic Multi-armed Bandits
We study a decentralized cooperative stochastic multi-armed bandit probl...
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12/21/2017
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators
We consider the problem of Bayesian inference in the family of probabili...
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03/14/2017