← Authors

Hoi-To Wai

20 papers · 2018–2024 · 5 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (34) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸ”¬ Deep Specialist (10) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (20) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (95)

Conferences

NIPS (13) COLT (3) AISTATS (2) AAAI (1) ALT (1)

Top co-authors

Eric Moulines (8) Mingyi Hong (7) Zhaoran Wang (5) Zhuoran Yang (5) Belhal Karimi (3) Qiang Li (3) Alexey Naumov (3) Siliang Zeng (2) Chung-Yiu Yau (2) Sergey Samsonov (2)

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 (2) nonconvex optimization (2) 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