• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 40 matches

• 2024
• 
  Mingda Qiao, Letian Zheng:
  On the Distance from Calibration in Sequential Prediction. COLT 2024: 4307-4357
• 
  Yuyang Deng, Mingda Qiao:
  Collaborative Learning with Different Labeling Functions. ICML 2024
• 
  Weihao Kong, Mingda Qiao, Rajat Sen:
  A Combinatorial Approach to Robust PCA. ITCS 2024: 70:1-70:22
• 
  Mingda Qiao, Letian Zheng:
  On the Distance from Calibration in Sequential Prediction. CoRR abs/2402.07458 (2024)
• 
  Yuyang Deng, Mingda Qiao:
  Collaborative Learning with Different Labeling Functions. CoRR abs/2402.10445 (2024)
• 
  Nika Haghtalab, Mingda Qiao, Kunhe Yang:
  Platforms for Efficient and Incentive-Aware Collaboration. CoRR abs/2402.15169 (2024)
• 
  Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao:
  Truthfulness of Calibration Measures. CoRR abs/2407.13979 (2024)
• 2023
• 
  Mingda Qiao, Gregory Valiant:
  Online Pen Testing. ITCS 2023: 91:1-91:26
• 
  Weihao Kong, Mingda Qiao, Rajat Sen:
  A Combinatorial Approach to Robust PCA. CoRR abs/2311.16416 (2023)
• 2022
• 
  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)
• 
  Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer:
  A Fourier Approach to Mixture Learning. NeurIPS 2022
• 
  Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
  Open Problem: Properly learning decision trees in polynomial time? CoRR abs/2206.14431 (2022)
• 
  Mingda Qiao, Gregory Valiant:
  Online Pen Testing. CoRR abs/2210.00655 (2022)
• 
  Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer:
  A Fourier Approach to Mixture Learning. CoRR abs/2210.02415 (2022)
• 2021
• 
  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
• 
  Mingda Qiao, Gregory Valiant:
  Exponential Weights Algorithms for Selective Learning. COLT 2021: 3833-3858
• 
  Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
  Properly learning decision trees in almost polynomial time. FOCS 2021: 920-929
• 
  Mingda Qiao, Gregory Valiant:
  Stronger calibration lower bounds via sidestepping. STOC 2021: 456-466
• 
  Mingda Qiao, Gregory Valiant:
  Exponential Weights Algorithms for Selective Learning. CoRR abs/2106.15662 (2021)
• 
  Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
  Decision tree heuristics can fail, even in the smoothed setting. CoRR abs/2107.00819 (2021)
• 
  Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
  Properly learning decision trees in almost polynomial time. CoRR abs/2109.00637 (2021)
• 2020
• 
  Jian Li, Xuanyuan Luo, Mingda Qiao:
  On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. ICLR 2020
• 
  Mingda Qiao, Gregory Valiant:
  Stronger Calibration Lower Bounds via Sidestepping. CoRR abs/2012.03454 (2020)
• 2019
• 
  Huihui Qiao, Taiyong Wang, Peng Wang, Lan Zhang, Mingda Xu:
  An Adaptive Weighted Multiscale Convolutional Neural Network for Rotating Machinery Fault Diagnosis Under Variable Operating Conditions. IEEE Access 7: 118954-118964 (2019)
• 
  Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao:
  Low-Distortion Social Welfare Functions. AAAI 2019: 1788-1795
• 
  Mingda Qiao, Gregory Valiant:
  A Theory of Selective Prediction. COLT 2019: 2580-2594
• 
  Jian Li, Xuanyuan Luo, Mingda Qiao:
  On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. CoRR abs/1902.00621 (2019)
• 
  Mingda Qiao, Gregory Valiant:
  A Theory of Selective Prediction. CoRR abs/1902.04256 (2019)
• 2018
• 
  Mingda Qiao:
  Do Outliers Ruin Collaboration? ICML 2018: 4177-4184
• 
  Mingda Qiao, Gregory Valiant:
  Learning Discrete Distributions from Untrusted Batches. ITCS 2018: 47:1-47:20

skipping 10 more matches