Hoi-To Wai
20 papers · 2018–2024 · 5 conferences · across top CS/AI conferences
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Keywords
stochastic approximation
(4)
decentralized optimization
(3)
markov chain
(3)
policy evaluation
(3)
performative prediction
(3)
neural network
(3)
non-convex optimization
(3)
multi-agent system
(2)
latent variable model
(2)
convergence rate
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nonconvex optimization
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communication complexity
(2)
stochastic gradient
(2)
stochastic optimization
(2)
stochastic gradient descent
(2)
variance reduction
(2)
finite-time analysis
(2)
bilevel optimization
(2)
principal component analysis
(1)
game theory
(1)
Papers
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NIPS 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
NIPS 2024
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
State Dependent Performative Prediction with Stochastic Approximation
AISTATS 2022
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
NIPS 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
NIPS 2022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems
ALT 2022
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity
NIPS 2022
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
COLT 2021
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
NIPS 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
NIPS 2021
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
AAAI 2021
Provably Efficient Neural GTD for Off-Policy Learning
NIPS 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
NIPS 2020
Variance Reduced Policy Evaluation with Smooth Function Approximation
NIPS 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
COLT 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
NIPS 2019
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
NIPS 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
NIPS 2018