Shahin Shahrampour
10 papers · 2013–2024 · 4 venues · across top CS/AI venues
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π Academic Marathon Β· Half π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (23)
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Venues
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Research topics
Keywords
regret bound
(2)
online optimization
(2)
stochastic optimization
(1)
policy evaluation
(1)
online learning
(1)
parameter estimation
(1)
decentralized optimization
(1)
dynamic parameters
(1)
distributed optimization
(1)
dynamic regret
(1)
kernel approximation
(1)
empirical risk minimization
(1)
nash equilibrium
(1)
gradient descent
(1)
natural policy gradient
(1)
multi-agent reinforcement learning
(1)
kernel expansion
(1)
strongly convex
(1)
stochastic process
(1)
wasserstein distance
(1)
Papers
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
ICML 2024
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NeurIPS 2023
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
AAAI 2021
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
ICML 2020
Statistical and Topological Properties of Sliced Probability Divergences
NeurIPS 2020
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
NeurIPS 2018
On Optimal Generalizability in Parametric Learning
NeurIPS 2017
Online Optimization : Competing with Dynamic Comparators
AISTATS 2015
Online Learning of Dynamic Parameters in Social Networks
NeurIPS 2013