H. Vincent Poor
13 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Conference Polyglot (6) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (5)
π
Cross-Pollinator
(9)
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π
Grand Slam
ποΈ
Keyword Collector
(78)
π
Century Club
(13)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
Conferences
NIPS (5)
AAAI (2)
AISTATS (2)
ICML (2)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
nonconvex optimization
(3)
convergence analysis
(3)
graph neural network
(2)
tensor completion
(2)
higher-order interaction
(2)
convergence rate
(2)
simplicial neural network
(2)
link prediction
(1)
stochastic gradient descent
(1)
dimensionality reduction
(1)
non-convex optimization
(1)
data poisoning
(1)
graph learning
(1)
few-shot learning
(1)
reinforcement learning
(1)
model aggregation
(1)
topological data analysis
(1)
temporal difference learning
(1)
distributed optimization
(1)
distributed learning
(1)
Papers
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Alternating Differentiation for Optimization Layers
ICLR 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
NIPS 2023
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
JMLR 2022
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
NIPS 2022
BScNets: Block Simplicial Complex Neural Networks
AAAI 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
AISTATS 2022
Learning Mixtures of Linear Dynamical Systems
ICML 2022
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
AAAI 2021
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
NIPS 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
NIPS 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
ICML 2020
Nonconvex Low-Rank Tensor Completion from Noisy Data
NIPS 2019