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GV

Gregory Valiant

cs.LGstat.MLcs.DScs.AIcs.CCmath.STstat.THcs.CLcs.CRcs.IT

On Valency

published · living versions
W_bvyft4jh·v1 · currentpublished
Short proofs in combinatorics, probability and number theory II
with Boris Alexeev, Moe Putterman, Mehtaab Sawhney, Mark Sellke
1 version

Preprints & journals

66 papers in the corpus · 2008–2026
Thompson Sampling Is 2-Competitive for Mistakes2607.12389v1 · Mark Sellke, Gregory Valiant2026 · 0 citationsarXiv
Short proofs in combinatorics, probability and number theory II2604.06609v1 · Boris Alexeev, Moe Putterman, Mehtaab Sawhney et al.2026 · 0 citationsarXivon Valency
Short proofs in combinatorics and number theory2603.29961v2 · Boris Alexeev, Moe Putterman, Mehtaab Sawhney et al.2026 · 0 citationsarXivon Valency
On infinite sets with no 33 on a line2602.21275v1 · Moe Putterman, Mehtaab Sawhney, Gregory Valiant2026 · 0 citationsarXiv
OpenAI GPT-5 System Card2601.03267v2 · Aaditya Singh, Adam Fry, Adam Perelman et al.2025 · 26 citationsarXiv
On the Entropy Calibration of Language Models2511.11966v2 · Steven Cao, Gregory Valiant, Percy Liang2025 · 0 citationsarXiv
Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation2502.05730v3 · Spencer Compton, Gregory Valiant2025 · 0 citationsarXiv
Discovering Data Structures: Nearest Neighbor Search and Beyond2411.03253v2 · Omar Salemohamed, Laurent Charlin, Shivam Garg et al.2024 · 0 citationsarXiv
Adaptive and oblivious statistical adversaries are equivalent2410.13548v3 · Guy Blanc, Gregory Valiant2024 · 2 citationsarXiv
Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances2312.02417v1 · Spencer Compton, Gregory Valiant2023 · 1 citationarXiv
Testing with Non-identically Distributed Samples2311.11194v2 · Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur et al.2023 · 0 citationsarXiv
One-sided Matrix Completion from Two Observations Per Row2306.04049v1 · Steven Cao, Percy Liang, Gregory Valiant2023 · 0 citationsarXiv
Lexinvariant Language Models2305.16349v1 · Qian Huang, Eric Zelikman, Sarah Li Chen et al.2023 · 0 citationsarXiv
Online Pen Testing2210.00655v2 · Mingda Qiao, Gregory Valiant2022 · 2 citationsarXiv
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes2208.01066v3 · Shivam Garg, Dimitris Tsipras, Percy Liang et al.2022 · 110 citationsarXiv
From Sand to Flour: The Next Leap in Granular Computing with NanoSort2204.12615v1 · Theo Jepsen, Stephen Ibanez, Gregory Valiant et al.2022 · 1 citationarXiv
Efficient Convex Optimization Requires Superlinear Memory2203.15260v2 · Annie Marsden, Vatsal Sharan, Aaron Sidford et al.2022 · 6 citationsarXiv
On the Statistical Complexity of Sample Amplification2201.04315v2 · Brian Axelrod, Shivam Garg, Yanjun Han et al.2022 · 2 citationsarXiv
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales2111.03137v1 · Jonathan Kelner, Annie Marsden, Vatsal Sharan et al.2021 · 0 citationsarXiv
ReporterSeq reveals genome-wide dynamic modulators of the heat shock response across diverse stressors.34223816 · Alford, Brian D, Tassoni-Tsuchida, Eduardo, Khan, Danish et al.2021 · 22 citationseLife. 2021;10
Exponential Weights Algorithms for Selective Learning2106.15662v1 · Mingda Qiao, Gregory Valiant2021 · 1 citationarXiv
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training2102.08622v2 · Kai Sheng Tai, Peter Bailis, Gregory Valiant2021 · 24 citationsarXiv
On Misspecification in Prediction Problems and Robustness via Improper Learning2101.05234v2 · Annie Marsden, John Duchi, Gregory Valiant2021 · 1 citationarXiv
Stronger Calibration Lower Bounds via Sidestepping2012.03454v3 · Mingda Qiao, Gregory Valiant2020 · 7 citationsarXiv
On the Generalization Effects of Linear Transformations in Data Augmentation2005.00695v3 · Sen Wu, Hongyang R. Zhang, Gregory Valiant et al.2020 · 35 citationsarXiv
Sublinear Optimal Policy Value Estimation in Contextual Bandits1912.06111v2 · Weihao Kong, Gregory Valiant, Emma Brunskill2019 · 6 citationsarXiv
Worst-Case Analysis for Randomly Collected Data1911.03605v2 · Justin Y. Chen, Gregory Valiant, Paul Valiant2019 · 0 citationsarXiv
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families1907.08306v1 · Brian Axelrod, Ilias Diakonikolas, Anastasios Sidiropoulos et al.2019 · 6 citationsarXiv
Making AI Forget You: Data Deletion in Machine Learning1907.05012v2 · Antonio Ginart, Melody Y. Guan, Gregory Valiant et al.2019 · 175 citationsarXiv
A Surprising Density of Illusionable Natural Speech1906.01040v3 · Melody Y. Guan, Gregory Valiant2019 · 3 citationsarXiv
Sample Amplification: Increasing Dataset Size even when Learning is Impossible1904.12053v3 · Brian Axelrod, Shivam Garg, Vatsal Sharan et al.2019 · 4 citationsarXiv
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process1904.09080v2 · Guy Blanc, Neha Gupta, Gregory Valiant et al.2019 · 29 citationsarXiv
Memory-Sample Tradeoffs for Linear Regression with Small Error1904.08544v2 · Vatsal Sharan, Aaron Sidford, Gregory Valiant2019 · 21 citationsarXiv
A Theory of Selective Prediction1902.04256v3 · Mingda Qiao, Gregory Valiant2019 · 0 citationsarXiv
Maximum Likelihood Estimation for Learning Populations of Parameters1902.04553v1 · Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant et al.2019 · 21 citationsarXiv
Equivariant Transformer Networks1901.11399v2 · Kai Sheng Tai, Peter Bailis, Gregory Valiant2019 · 46 citationsarXiv
A Spectral View of Adversarially Robust Features1811.06609v2 · Shivam Garg, Vatsal Sharan, Brian Hu Zhang et al.2018 · 15 citationsarXiv
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood1811.03204v1 · Brian Axelrod, Gregory Valiant2018 · 3 citationsarXiv
Estimating Learnability in the Sublinear Data Regime1805.01626v3 · Weihao Kong, Gregory Valiant2018 · 15 citationsarXiv
Approximating the Spectrum of a Graph1712.01725v1 · David Cohen-Steiner, Weihao Kong, Christian Sohler et al.2017 · 42 citationsarXiv
Learning Discrete Distributions from Untrusted Batches1711.08113v1 · Mingda Qiao, Gregory Valiant2017 · 14 citationsarXiv
Sketching Linear Classifiers over Data Streams1711.02305v2 · Kai Sheng Tai, Vatsal Sharan, Peter Bailis et al.2017 · 43 citationsarXiv
Learning Overcomplete HMMs1711.02309v2 · Vatsal Sharan, Sham Kakade, Percy Liang et al.2017 · 8 citationsarXiv
Learning Populations of Parameters1709.02707v2 · Kevin Tian, Weihao Kong, Gregory Valiant2017 · 17 citationsarXiv
A Data Prism: Semi-Verified Learning in the Small-Alpha Regime1708.02740v1 · Michela Meister, Gregory Valiant2017 · 1 citationarXiv
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data1706.08146v3 · Vatsal Sharan, Kai Sheng Tai, Peter Bailis et al.2017 · 7 citationsarXiv
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers1703.04940v3 · Jacob Steinhardt, Moses Charikar, Gregory Valiant2017 · 75 citationsarXiv
Career total: at least 142 works. 66 are in this corpus.Showing the 50 most recent.

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