Gregory Valiant
34 papers · 2013–2023 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Gregory Valiant?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Vatsal Sharan, Percy Liang, Annie Marsden
15 papers
· 2017–2023
· ICML, NeurIPS, COLT
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Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)
IJCAI 2023
Lexinvariant Language Models
NeurIPS 2023
One-sided Matrix Completion from Two Observations Per Row
ICML 2023
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
COLT 2022
Efficient Convex Optimization Requires Superlinear Memory
COLT 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
NeurIPS 2022
Misspecification in Prediction Problems and Robustness via Improper Learning
AISTATS 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
ICML 2021
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
ICML 2020
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
NeurIPS 2019
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
ICML 2019
Equivariant Transformer Networks
ICML 2019
A Spectral View of Adversarially Robust Features
NeurIPS 2018
Learning Overcomplete HMMs
NeurIPS 2017
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
ICML 2017
7 papers whose co-authors appear nowhere else under this name
Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio
ACL 2021
On the Generalization Effects of Linear Transformations in Data Augmentation
ICML 2020
Making AI Forget You: Data Deletion in Machine Learning
NeurIPS 2019
A Data Prism: Semi-verified learning in the small-alpha regime
COLT 2018
Estimating the unseen from multiple populations
ICML 2017
Testing Closeness With Unequal Sized Samples
NeurIPS 2015
Learning Polynomials with Neural Networks
ICML 2014