• 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 136 matches

• 2024
• 
  Pramith Devulapalli, Steve Hanneke:
  The Dimension of Self-Directed Learning. ALT 2024: 544-573
• 
  Steve Hanneke, Aryeh Kontorovich, Guy Kornowski:
  Efficient Agnostic Learning with Average Smoothness. ALT 2024: 719-731
• 
  Zachary Chase, Bogdan Chornomaz, Steve Hanneke, Shay Moran, Amir Yehudayoff:
  Dual VC Dimension Obstructs Sample Compression by Embeddings. COLT 2024: 923-946
• 
  Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
  Universal Rates for Regression: Separations between Cut-Off and Absolute Loss. COLT 2024: 359-405
• 
  Steve Hanneke:
  The Star Number and Eluder Dimension: Elementary Observations About the Dimensions of Disagreement. COLT 2024: 2308-2359
• 
  Steve Hanneke, Shay Moran, Tom Waknine:
  List Sample Compression and Uniform Convergence. COLT 2024: 2360-2388
• 
  Steve Hanneke, Shay Moran, Tom Waknine:
  Open problem: Direct Sums in Learning Theory. COLT 2024: 5325-5329
• 
  Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi:
  Agnostic Sample Compression Schemes for Regression. ICML 2024
• 
  Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran:
  Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs. CoRR abs/2402.07453 (2024)
• 
  Pramith Devulapalli, Steve Hanneke:
  The Dimension of Self-Directed Learning. CoRR abs/2402.13400 (2024)
• 
  Steve Hanneke, Shay Moran, Tom Waknine:
  List Sample Compression and Uniform Convergence. CoRR abs/2403.10889 (2024)
• 
  Zachary Chase, Bogdan Chornomaz, Steve Hanneke, Shay Moran, Amir Yehudayoff:
  Dual VC Dimension Obstructs Sample Compression by Embeddings. CoRR abs/2405.17120 (2024)
• 
  Simone Fioravanti, Steve Hanneke, Shay Moran, Hilla Schefler, Iska Tsubari:
  Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem. CoRR abs/2407.07765 (2024)
• 
  Steve Hanneke, Kasper Green Larsen, Nikita Zhivotovskiy:
  Revisiting Agnostic PAC Learning. CoRR abs/2407.19777 (2024)
• 
  Steve Hanneke, Samory Kpotufe:
  A More Unified Theory of Transfer Learning. CoRR abs/2408.16189 (2024)
• 2023
• 
  Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin:
  Fine-Grained Distribution-Dependent Learning Curves. COLT 2023: 5890-5924
• 
  Nataly Brukhim, Steve Hanneke, Shay Moran:
  Improper Multiclass Boosting. COLT 2023: 5433-5452
• 
  Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran:
  Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension. COLT 2023: 773-836
• 
  Steve Hanneke, Liu Yang:
  Bandit Learnability can be Undecidable. COLT 2023: 5813-5849
• 
  Steve Hanneke, Samory Kpotufe, Yasaman Mahdaviyeh:
  Limits of Model Selection under Transfer Learning. COLT 2023: 5781-5812
• 
  Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari:
  Multiclass Online Learning and Uniform Convergence. COLT 2023: 5682-5696
• 
  Steve Hanneke, Shay Moran, Qian Zhang:
  Universal Rates for Multiclass Learning. COLT 2023: 5615-5681
• 
  Idan Attias, Steve Hanneke:
  Adversarially Robust PAC Learnability of Real-Valued Functions. ICML 2023: 1172-1199
• 
  Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
  Optimal Learners for Realizable Regression: PAC Learning and Online Learning. NeurIPS 2023
• 
  Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma:
  Reliable learning in challenging environments. NeurIPS 2023
• 
  Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty:
  Adversarial Resilience in Sequential Prediction via Abstention. NeurIPS 2023
• 
  Steve Hanneke, Shay Moran, Jonathan Shafer:
  A Trichotomy for Transductive Online Learning. NeurIPS 2023
• 
  Guy Kornowski, Steve Hanneke, Aryeh Kontorovich:
  Near-optimal learning with average Hölder smoothness. NeurIPS 2023
• 
  Moïse Blanchard, Steve Hanneke, Patrick Jaillet:
  Contextual Bandits and Optimistically Universal Learning. CoRR abs/2301.00241 (2023)
• 
  Steve Hanneke, Aryeh Kontorovich, Guy Kornowski:
  Near-optimal learning with average Hölder smoothness. CoRR abs/2302.06005 (2023)

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