Brian McWilliams
14 papers · 2013–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(11)
🐣
Hot Topic Early Bird
🗃️
Keyword Collector
(55)
💎
Century Club
(14)
🔥
Unstoppable
(6)
📈
Trend Setter
❓
The Questioner
Conferences
ICLR (4)
NIPS (4)
ICML (3)
CVPR (2)
AISTATS (1)
Top co-authors
Keywords
convergence guarantee
(2)
random projection
(2)
stochastic gradient descent
(2)
video segmentation
(1)
outlier detection
(1)
video frame interpolation
(1)
robust regression
(1)
feature distribution
(1)
batch normalization
(1)
evaluation methodology
(1)
kernel regression
(1)
cross validation
(1)
gradient descent
(1)
canonical correlation analysis
(1)
variance reduction
(1)
motion estimation
(1)
linear regression
(1)
nystrom method
(1)
optical flow
(1)
semi-supervised learning
(1)
Papers
MusicRL: Aligning Music Generation to Human Preferences
ICML 2024
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
ICLR 2023
EigenGame Unloaded: When playing games is better than optimizing
ICLR 2022
Representation Learning via Invariant Causal Mechanisms
ICLR 2021
EigenGame: PCA as a Nash Equilibrium
ICLR 2021
PhaseNet for Video Frame Interpolation
CVPR 2018
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
ICML 2017
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
ICML 2017
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
AISTATS 2016
Scalable Adaptive Stochastic Optimization Using Random Projections
NIPS 2016
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
CVPR 2016
Variance Reduced Stochastic Gradient Descent with Neighbors
NIPS 2015
Fast and Robust Least Squares Estimation in Corrupted Linear Models
NIPS 2014
Correlated random features for fast semi-supervised learning
NIPS 2013