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ORCIDLi-Yang Tan
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Publications
- 2023
[c61]Guy Blanc, Caleb Koch, Jane Lange, Carmen Strassle, Li-Yang Tan:
Certification with an NP Oracle. ITCS 2023: 18:1-18:22- [c60]Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari:
Harnessing the power of choices in decision tree learning. NeurIPS 2023 - [c57]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting Uniform Learners via Distributional Decomposition. STOC 2023: 1755-1767 - [i67]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Lifting uniform learners via distributional decomposition. CoRR abs/2303.16208 (2023) - [i64]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
- [j11]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) - [c55]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. COLT 2022: 5030-5061 - [c53]Guy Blanc, Jane Lange, Li-Yang Tan:
Reconstructing Decision Trees. ICALP 2022: 24:1-24:17 - [c52]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
A query-optimal algorithm for finding counterfactuals. ICML 2022: 2075-2090 - [c51]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. ICML 2022: 2091-2106 - [c49]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
The query complexity of certification. STOC 2022: 623-636 - [i63]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
The Query Complexity of Certification. CoRR abs/2201.07736 (2022) - [i60]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
Popular decision tree algorithms are provably noise tolerant. CoRR abs/2206.08899 (2022) - [i59]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Open Problem: Properly learning decision trees in polynomial time? CoRR abs/2206.14431 (2022) - [i58]Guy Blanc, Caleb Koch, Jane Lange, Li-Yang Tan:
A Query-Optimal Algorithm for Finding Counterfactuals. CoRR abs/2207.07072 (2022) - [i55]Guy Blanc, Caleb Koch, Jane Lange, Carmen Strassle, Li-Yang Tan:
Certification with an NP Oracle. CoRR abs/2211.02257 (2022) - 2021
- [c47]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 - [c44]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. FOCS 2021: 920-929 - [c42]Guy Blanc, Jane Lange, Li-Yang Tan:
Learning Stochastic Decision Trees. ICALP 2021: 30:1-30:16 - [c41]Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. NeurIPS 2021: 6129-6141 - [c39]Guy Blanc, Jane Lange, Li-Yang Tan:
Query strategies for priced information, revisited. SODA 2021: 1638-1650 - [i52]Guy Blanc, Jane Lange, Li-Yang Tan:
Learning stochastic decision trees. CoRR abs/2105.03594 (2021) - [i51]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Decision tree heuristics can fail, even in the smoothed setting. CoRR abs/2107.00819 (2021) - [i50]Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. CoRR abs/2109.00637 (2021) - [i48]Guy Blanc, Jane Lange, Li-Yang Tan:
Provably efficient, succinct, and precise explanations. CoRR abs/2111.01576 (2021) - [i46]Guy Blanc, Jane Lange, Ali Malik, Li-Yang Tan:
On the power of adaptivity in statistical adversaries. CoRR abs/2111.10352 (2021) - 2020
- [c36]Guy Blanc, Jane Lange, Li-Yang Tan:
Provable guarantees for decision tree induction: the agnostic setting. ICML 2020: 941-949 - [c35]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-Down Induction of Decision Trees: Rigorous Guarantees and Inherent Limitations. ITCS 2020: 44:1-44:44 - [c34]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. NeurIPS 2020 - [c33]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Universal guarantees for decision tree induction via a higher-order splitting criterion. NeurIPS 2020 - [i42]Guy Blanc, Jane Lange, Li-Yang Tan:
Provable guarantees for decision tree induction: the agnostic setting. CoRR abs/2006.00743 (2020) - [i41]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) - [i40]Guy Blanc, Jane Lange, Li-Yang Tan:
Query strategies for priced information, revisited. CoRR abs/2010.11381 (2020) - [i39]Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. CoRR abs/2011.01584 (2020) - [i38]Guy Blanc, Jane Lange, Li-Yang Tan:
Testing and reconstruction via decision trees. CoRR abs/2012.08735 (2020) - 2019
- [i34]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-down induction of decision trees: rigorous guarantees and inherent limitations. CoRR abs/1911.07375 (2019) - [i33]Guy Blanc, Jane Lange, Li-Yang Tan:
Constructive derandomization of query algorithms. CoRR abs/1912.03042 (2019) - [i32]Guy Blanc, Jane Lange, Li-Yang Tan:
Top-down induction of decision trees: rigorous guarantees and inherent limitations. Electron. Colloquium Comput. Complex. TR19 (2019)
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