Javier González

68 papers A* 15A 6C 5Misc 1Journal 35Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency. CoRR Victoria Lin, Xinnuo Xu, Rachel Lawrence, Risa Ueno, Amit Sharma, Javier González, Niranjani Prasad
2025	A*	`conf`	Compositional Causal Reasoning Evaluation in Language Models. ICML Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González
2025	J	`jnl`	Compositional Causal Reasoning Evaluation in Language Models. CoRR Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González
2025	J	`jnl`	E-Scores for (In)Correctness Assessment of Generative Model Outputs. CoRR Guneet S. Dhillon, Javier González, Teodora Pandeva, Alicia Curth
2025	J	`jnl`	JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs. CoRR Aliaksandra Shysheya, John Bronskill, James Requeima, Shoaib Ahmed Siddiqui, Javier González, David Duvenaud, Richard E. Turner
2025	A*	`conf`	RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. ICML Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier González
2025	J	`jnl`	RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. CoRR Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier González
2025	J	`jnl`	Reasoning Beyond Labels: Measuring LLM Sentiment in Low-Resource, Culturally Nuanced Contexts. CoRR Millicent Ochieng, Anja Thieme, Ignatius Ezeani, Risa Ueno, Samuel C. Maina, Keshet Ronen, Javier González, Jacki O'Neill
2025	A*	`conf`	Reasoning Elicitation in Language Models via Counterfactual Feedback. ICLR Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González
2024	—	`conf`	Cautionary Tales on Synthetic Controls in Survival Analyses. CLeaR Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González
2024	A*	`conf`	Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models. NeurIPS Javier González, Aditya V. Nori
2024	J	`jnl`	Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models. CoRR Javier González, Aditya V. Nori
2024	J	`jnl`	Reasoning Elicitation in Language Models via Counterfactual Feedback. CoRR Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González
2023	J	`jnl`	Beyond Words: A Mathematical Framework for Interpreting Large Language Models. CoRR Javier González, Aditya V. Nori
2022	A	`conf`	Learning Inconsistent Preferences with Gaussian Processes. AISTATS Siu Lun Chau, Javier González, Dino Sejdinovic
2022	A	`conf`	Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS Edward De Brouwer, Javier González, Stephanie L. Hyland
2022	A*	`conf`	RKHS-SHAP: Shapley Values for Kernel Methods. NeurIPS Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic
2021	A*	`conf`	BayesIMP: Uncertainty Quantification for Causal Data Fusion. NeurIPS Siu Lun Chau, Jean-Francois Ton, Javier González, Yee Whye Teh, Dino Sejdinovic
2021	J	`jnl`	BayesIMP: Uncertainty Quantification for Causal Data Fusion. CoRR Siu Lun Chau, Jean-François Ton, Javier González, Yee Whye Teh, Dino Sejdinovic
2021	A*	`conf`	Dynamic Causal Bayesian Optimization. NeurIPS Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	J	`jnl`	Dynamic Causal Bayesian Optimization. CoRR Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	J	`jnl`	Emulation of physical processes with Emukit. CoRR Andrei Paleyes, Mark Pullin, Maren Mahsereci, Cliff McCollum, Neil D. Lawrence, Javier González
2021	J	`jnl`	GIBBON: General-purpose Information-Based Bayesian OptimisatioN. CoRR Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
2021	J	`jnl`	GIBBON: General-purpose Information-Based Bayesian Optimisation. J. Mach. Learn. Res. Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
2021	—	`conf`	Preferential Batch Bayesian Optimization. MLSP Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari
2021	J	`jnl`	RKHS-SHAP: Shapley Values for Kernel Methods. CoRR Siu Lun Chau, Javier González, Dino Sejdinovic
2020	J	`jnl`	Automatic Discovery of Privacy-Utility Pareto Fronts. Proc. Priv. Enhancing Technol. Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle
2020	A*	`conf`	BINOCULARS for efficient, nonmyopic sequential experimental design. ICML Shali Jiang, Henry Chai, Javier González, Roman Garnett
2020	Misc	`conf`	BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. ICASSP Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
2020	J	`jnl`	BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. CoRR Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
2020	A*	`conf`	BOSS: Bayesian Optimization over String Spaces. NeurIPS Henry B. Moss, David S. Leslie, Daniel Beck, Javier González, Paul Rayson
2020	J	`jnl`	BOSS: Bayesian Optimization over String Spaces. CoRR Henry B. Moss, Daniel Beck, Javier González, David S. Leslie, Paul Rayson
2020	A	`conf`	Bandit optimisation of functions in the Matérn kernel RKHS. AISTATS David Janz, David R. Burt, Javier González
2020	J	`jnl`	Bandit optimisation of functions in the Matérn kernel RKHS. CoRR David Janz, David R. Burt, Javier González
2020	A	`conf`	Causal Bayesian Optimization. AISTATS Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González
2020	J	`jnl`	Causal Bayesian Optimization. CoRR Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González
2020	J	`jnl`	Good practices for Bayesian Optimization of high dimensional structured spaces. CoRR Eero Siivola, Javier González, Andrei Paleyes, Aki Vehtari
2020	J	`jnl`	Learning Inconsistent Preferences with Kernel Methods. CoRR Siu Lun Chau, Javier González, Dino Sejdinovic
2020	A*	`conf`	Multi-task Causal Learning with Gaussian Processes. NeurIPS Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Multi-task Causal Learning with Gaussian Processes. CoRR Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Preferential Batch Bayesian Optimization. CoRR Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari
2020	J	`jnl`	Structure Mapping for Transferability of Causal Models. CoRR Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau
2019	J	`jnl`	Automatic Discovery of Privacy-Utility Pareto Fronts. CoRR Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle
2019	J	`jnl`	Deep Gaussian Processes for Multi-fidelity Modeling. CoRR Kurt Cutajar, Mark Pullin, Andreas C. Damianou, Neil D. Lawrence, Javier González
2019	J	`jnl`	Efficient nonmyopic Bayesian optimization and quadrature. CoRR Shali Jiang, Henry Chai, Javier González, Roman Garnett
2019	A*	`conf`	Meta-Surrogate Benchmarking for Hyperparameter Optimization. NeurIPS Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier González
2019	J	`jnl`	Meta-Surrogate Benchmarking for Hyperparameter Optimization. CoRR Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier González
2018	—	`conf`	Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations. MLSP Eero Siivola, Aki Vehtari, Jarno Vanhatalo, Javier González, Michael Riis Andersen
2018	A*	`conf`	Structured Variationally Auto-encoded Optimization. ICML Xiaoyu Lu, Javier González, Zhenwen Dai, Neil D. Lawrence
2017	A*	`conf`	Bayesian Optimization with Tree-structured Dependencies. ICML Rodolphe Jenatton, Cédric Archambeau, Javier González, Matthias W. Seeger
2017	A*	`conf`	Preferential Bayesian Optimization. ICML Javier González, Zhenwen Dai, Andreas C. Damianou, Neil D. Lawrence
2016	J	`jnl`	Asymmetric latent semantic indexing for gene expression experiments visualization. J. Bioinform. Comput. Biol. Javier González, Alberto Muñoz, Gabriel Martos
2016	A	`conf`	Batch Bayesian Optimization via Local Penalization. AISTATS Javier González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence
2016	A	`conf`	GLASSES: Relieving The Myopia Of Bayesian Optimisation. AISTATS Javier González, Michael A. Osborne, Neil D. Lawrence
2016	A*	`conf`	Variational Auto-encoded Deep Gaussian Processes. ICLR (Poster) Zhenwen Dai, Andreas C. Damianou, Javier González, Neil D. Lawrence
2015	J	`jnl`	Time-course window estimator for ordinary differential equations linear in the parameters. Stat. Comput. Ivan Vujacic, Itai Dattner, Javier González, Ernst Wit
2014	J	`jnl`	Generalizing the Mahalanobis distance via density kernels. Intell. Data Anal. Gabriel Martos, Alberto Muñoz, Javier González
2014	J	`jnl`	Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations. Pattern Recognit. Lett. Javier González, Ivan Vujacic, Ernst Wit
2013	—	`conf`	A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context. CIARP (1) Alberto Muñoz, Gabriel Martos, Javier González
2013	J	`jnl`	Functional analysis techniques to improve similarity matrices in discrimination problems. J. Multivar. Anal. Javier González, Alberto Muñoz
2013	—	`conf`	On the Generalization of the Mahalanobis Distance. CIARP (1) Gabriel Martos, Alberto Muñoz, Javier González
2010	J	`jnl`	Representing functional data using support vector machines. Pattern Recognit. Lett. Alberto Muñoz, Javier González
2009	C	`conf`	Combining Functional Data Projections for Time Series Classification. CIARP Alberto Muñoz, Javier González
2008	C	`conf`	Functional Learning of Kernels for Information Fusion Purposes. CIARP Alberto Muñoz, Javier González
2008	C	`conf`	Representing Functional Data Using Support Vector Machines. CIARP Javier González, Alberto Muñoz
2007	C	`conf`	Joint Diagonalization of Kernels for Information Fusion. CIARP Alberto Muñoz, Javier González
2007	—	`conf`	Spectral Measures for Kernel Matrices Comparison. ICANN (1) Javier González, Alberto Muñoz
2006	C	`conf`	Local Linear Approximation for Kernel Methods: The Railway Kernel. CIARP Alberto Muñoz, Javier González, Isaac Martín de Diego