• 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 57 matches

• 2024
• 
  Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
  Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR 2024: 243-264
• 
  Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa:
  FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. CoRR abs/2406.04824 (2024)
• 
  Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa:
  Mind the Graph When Balancing Data for Fairness or Robustness. CoRR abs/2406.17433 (2024)
• 2023
• 
  Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jörg Bornschein, Anirudh Goyal, Mélanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende:
  Learning to Induce Causal Structure. ICLR 2023
• 
  Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa:
  Constrained Causal Bayesian Optimization. ICML 2023: 304-321
• 
  Alan Malek, Virginia Aglietti, Silvia Chiappa:
  Additive Causal Bandits with Unknown Graph. ICML 2023: 23574-23589
• 
  Alexis Bellot, Alan Malek, Silvia Chiappa:
  Transportability for Bandits with Data from Different Environments. NeurIPS 2023
• 
  Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa:
  Functional causal Bayesian optimization. UAI 2023: 756-765
• 
  Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
  Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR abs/2301.12278 (2023)
• 
  Nan Rosemary Ke, Sara-Jane Dunn, Jörg Bornschein, Silvia Chiappa, Mélanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane X. Wang, Theophane Weber, David G. T. Barrett, Matthew M. Botvinick, Anirudh Goyal, Michael Mozer, Danilo J. Rezende:
  DiscoGen: Learning to Discover Gene Regulatory Networks. CoRR abs/2304.05823 (2023)
• 
  Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa:
  Constrained Causal Bayesian Optimization. CoRR abs/2305.20011 (2023)
• 
  Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa:
  Functional Causal Bayesian Optimization. CoRR abs/2306.06409 (2023)
• 
  Alan Malek, Virginia Aglietti, Silvia Chiappa:
  Additive Causal Bandits with Unknown Graph. CoRR abs/2306.07858 (2023)
• 2022
• 
  Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
  Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. AAAI 2022: 9494-9503
• 
  Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
  Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 2022
• 
  Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
  Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022)
• 
  Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
  Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. CoRR abs/2202.10816 (2022)
• 
  Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jörg Bornschein, Theophane Weber, Anirudh Goyal, Matthew M. Botvinick, Michael Mozer, Danilo Jimenez Rezende:
  Learning to Induce Causal Structure. CoRR abs/2204.04875 (2022)
• 2021
• 
  Alan Malek, Silvia Chiappa:
  Asymptotically Best Causal Effect Identification with Multi-Armed Bandits. NeurIPS 2021: 21960-21971
• 
  Silvia Chiappa, Aldo Pacchiano:
  Fairness with Continuous Optimal Transport. CoRR abs/2101.02084 (2021)
• 
  Jörg Bornschein, Silvia Chiappa, Alan Malek, Nan Rosemary Ke:
  Prequential MDL for Causal Structure Learning with Neural Networks. CoRR abs/2107.05481 (2021)
• 
  Edgar A. Duéñez-Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo:
  Statistical discrimination in learning agents. CoRR abs/2110.11404 (2021)
• 2020
• 
  Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides:
  A General Approach to Fairness with Optimal Transport. AAAI 2020: 3633-3640
• 
  Silvia Chiappa, Roberto Calandra:
  The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Proceedings of Machine Learning Research 108, PMLR 2020 [contents]
• 
  Luca Oneto, Silvia Chiappa:
  Fairness in Machine Learning. CoRR abs/2012.15816 (2020)
• 2019
• 
  Silvia Chiappa:
  Path-Specific Counterfactual Fairness. AAAI 2019: 7801-7808
• 
  Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli:
  Degenerate Feedback Loops in Recommender Systems. AIES 2019: 383-390
• 
  Luca Oneto, Silvia Chiappa:
  Fairness in Machine Learning. INNSBDDL (Tutorials) 2019: 155-196
• 
  Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa:
  Wasserstein Fair Classification. UAI 2019: 862-872
• 
  Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson:
  Causal Reasoning from Meta-reinforcement Learning. CoRR abs/1901.08162 (2019)

skipping 27 more matches