Stephen Becker
11 papers · 2012–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏆
Keyword Champion
🗃️
Keyword Collector
(60)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(11)
❓
The Questioner
Conferences
NIPS (4)
ICML (3)
COLT (1)
JMLR (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
tensor decomposition
(2)
sparse optimization
(2)
non-convex optimization
(2)
convex optimization
(2)
signal processing
(1)
preference learning
(1)
feature extraction
(1)
alternating minimization
(1)
reinforcement learning from human feedback
(1)
sample complexity
(1)
sparse regression
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
model alignment
(1)
convex relaxation
(1)
preference optimization
(1)
singular value decomposition
(1)
regularization
(1)
multi-task learning
(1)
stochastic gradient descent
(1)
Papers
Exploring Exploration in Bayesian Optimization
UAI 2025
Aligning to What? Limits to RLHF Based Alignment
NAACL 2025
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
ICML 2025
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise
JMLR 2024
A Sampling-Based Method for Tensor Ring Decomposition
ICML 2021
Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch
NIPS 2018
Open Problem: Property Elicitation and Elicitation Complexity
COLT 2016
Time--Data Tradeoffs by Aggressive Smoothing
NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
NIPS 2014
Sparse projections onto the simplex
ICML 2013
A quasi-Newton proximal splitting method
NIPS 2012