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Guy Blanc
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2020 – today
- 2024
- [c27]Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan:
A Strong Direct Sum Theorem for Distributional Query Complexity. CCC 2024: 16:1-16:30 - [c26]Guy Blanc, Alexandre Hayderi, Caleb Koch, Li-Yang Tan:
The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem. FOCS 2024: 1431-1450 - [i31]Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan:
A Strong Direct Sum Theorem for Distributional Query Complexity. CoRR abs/2405.16340 (2024) - [i30]Guy Blanc, Alexandre Hayderi, Caleb Koch, Li-Yang Tan:
The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem. CoRR abs/2409.11597 (2024) - [i29]Guy Blanc, Gregory Valiant:
Adaptive and oblivious statistical adversaries are equivalent. CoRR abs/2410.13548 (2024) - 2023
- [c25]Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan R. Ullman, Lydia Zakynthinou
:
Multitask Learning via Shared Features: Algorithms and Hardness. COLT 2023: 747-772 - [c24]Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan:
A strong composition theorem for junta complexity and the boosting of property testers. FOCS 2023: 1757-1777 - [c23]Guy Blanc, Caleb Koch, Jane Lange, Carmen Strassle, Li-Yang Tan:
Certification with an NP Oracle. ITCS 2023: 18:1-18:22 - [c22]Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari:
Harnessing the power of choices in decision tree learning. NeurIPS 2023 - [c21]Guy Blanc:
Subsampling Suffices for Adaptive Data Analysis. STOC 2023: 999-1012 - [c20]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting Uniform Learners via Distributional Decomposition. STOC 2023: 1755-1767 - [i28]Guy Blanc:
Subsampling Suffices for Adaptive Data Analysis. CoRR abs/2302.08661 (2023) - [i27]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting uniform learners via distributional decomposition. CoRR abs/2303.16208 (2023) - [i26]Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan:
A Strong Composition Theorem for Junta Complexity and the Boosting of Property Testers. CoRR abs/2307.04039 (2023) - [i25]Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari:
Harnessing the Power of Choices in Decision Tree Learning. CoRR abs/2310.01551 (2023) - 2022
- [j1]Guy Blanc
, Jane Lange
, Mingda Qiao
, Li-Yang Tan
:
Properly Learning Decision Trees in almost Polynomial Time. J. ACM 69(6): 39:1-39:19 (2022) - [c19]Guy Blanc, Dean Doron
:
New Near-Linear Time Decodable Codes Closer to the GV Bound. CCC 2022: 10:1-10:40 - [c18]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. COLT 2022: 5030-5061 - [c17]Guy Blanc, Jane Lange, Li-Yang Tan:
Reconstructing Decision Trees. ICALP 2022: 24:1-24:17 - [c16]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
A query-optimal algorithm for finding counterfactuals. ICML 2022: 2075-2090 - [c15]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. ICML 2022: 2091-2106 - [c14]Guy Blanc, Jane Lange:
Properly learning decision trees in almost polynomial time. ISAIM 2022 - [c13]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
The query complexity of certification. STOC 2022: 623-636 - [i24]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
The Query Complexity of Certification. CoRR abs/2201.07736 (2022) - [i23]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. CoRR abs/2206.08899 (2022) - [i22]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Open Problem: Properly learning decision trees in polynomial time? CoRR abs/2206.14431 (2022) - [i21]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
A Query-Optimal Algorithm for Finding Counterfactuals. CoRR abs/2207.07072 (2022) - [i20]Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan R. Ullman, Lydia Zakynthinou:
Multitask Learning via Shared Features: Algorithms and Hardness. CoRR abs/2209.03112 (2022) - [i19]Guy Blanc, Caleb Koch, Jane Lange, Carmen Strassle, Li-Yang Tan:
Certification with an NP Oracle. CoRR abs/2211.02257 (2022) - [i18]Guy Blanc, Dean Doron:
New Near-Linear Time Decodable Codes Closer to the GV Bound. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [c12]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Decision Tree Heuristics Can Fail, Even in the Smoothed Setting. APPROX-RANDOM 2021: 45:1-45:16 - [c11]Guy Blanc, Jane Lange, Mingda Qiao
, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. FOCS 2021: 920-929 - [c10]Guy Blanc, Moses Charikar
:
Multiway Online Correlated Selection. FOCS 2021: 1277-1284 - [c9]Guy Blanc, Jane Lange, Li-Yang Tan:
Learning Stochastic Decision Trees. ICALP 2021: 30:1-30:16 - [c8]Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. NeurIPS 2021: 6129-6141 - [c7]Guy Blanc, Jane Lange, Li-Yang Tan:
Query strategies for priced information, revisited. SODA 2021: 1638-1650 - [i17]Guy Blanc, Jane Lange, Li-Yang Tan:
Learning stochastic decision trees. CoRR abs/2105.03594 (2021) - [i16]Guy Blanc, Moses Charikar:
Multiway Online Correlated Selection. CoRR abs/2106.05579 (2021) - [i15]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Decision tree heuristics can fail, even in the smoothed setting. CoRR abs/2107.00819 (2021) - [i14]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. CoRR abs/2109.00637 (2021) - [i13]Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. CoRR abs/2111.01576 (2021) - [i12]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. CoRR abs/2111.10352 (2021) - 2020
- [c6]Guy Blanc, Neha Gupta, Gregory Valiant, Paul Valiant:
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process. COLT 2020: 483-513 - [c5]Guy Blanc, Jane Lange, Li-Yang Tan:
Provable guarantees for decision tree induction: the agnostic setting. ICML 2020: 941-949 - [c4]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-Down Induction of Decision Trees: Rigorous Guarantees and Inherent Limitations. ITCS 2020: 44:1-44:44 - [c3]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. NeurIPS 2020 - [c2]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Universal guarantees for decision tree induction via a higher-order splitting criterion. NeurIPS 2020 - [i11]Guy Blanc, Jane Lange, Li-Yang Tan:
Provable guarantees for decision tree induction: the agnostic setting. CoRR abs/2006.00743 (2020) - [i10]John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw:
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization. CoRR abs/2008.06431 (2020) - [i9]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Universal guarantees for decision tree induction via a higher-order splitting criterion. CoRR abs/2010.08633 (2020) - [i8]Guy Blanc, Jane Lange, Li-Yang Tan:
Query strategies for priced information, revisited. CoRR abs/2010.11381 (2020) - [i7]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. CoRR abs/2011.01584 (2020) - [i6]Guy Blanc, Jane Lange, Li-Yang Tan:
Testing and reconstruction via decision trees. CoRR abs/2012.08735 (2020)
2010 – 2019
- 2019
- [i5]Guy Blanc, Neha Gupta, Gregory Valiant, Paul Valiant:
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process. CoRR abs/1904.09080 (2019) - [i4]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-down induction of decision trees: rigorous guarantees and inherent limitations. CoRR abs/1911.07375 (2019) - [i3]Guy Blanc, Jane Lange, Li-Yang Tan:
Constructive derandomization of query algorithms. CoRR abs/1912.03042 (2019) - [i2]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-down induction of decision trees: rigorous guarantees and inherent limitations. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c1]Guy Blanc, Steffen Rendle:
Adaptive Sampled Softmax with Kernel Based Sampling. ICML 2018: 589-598 - 2017
- [i1]Guy Blanc, Steffen Rendle:
Adaptive Sampled Softmax with Kernel Based Sampling. CoRR abs/1712.00527 (2017)
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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