default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTim van Erven
Person information
- affiliation: University of Paris-Sud, Department of Mathematics
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c25]Hidde Fokkema, Damien Garreau, Tim van Erven:
The Risks of Recourse in Binary Classification. AISTATS 2024: 550-558- [i28]Sarah Sachs, Hédi Hadiji, Tim van Erven, Mathias Staudigl:
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. CoRR abs/2410.02400 (2024) - 2023
- [j6]Hidde Fokkema, Rianne de Heide, Tim van Erven:
Attribution-based Explanations that Provide Recourse Cannot be Robust. J. Mach. Learn. Res. 24: 360:1-360:37 (2023) - [c24]Sarah Sachs, Tim van Erven, Liam Hodgkinson, Rajiv Khanna, Umut Simsekli:
Generalization Guarantees via Algorithm-dependent Rademacher Complexity. COLT 2023: 4863-4880 - [c23]Rui M. Castro, Fredrik Hellström, Tim van Erven:
Adaptive Selective Sampling for Online Prediction with Experts. NeurIPS 2023 - [c22]Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen:
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. NeurIPS 2023 - [c21]Julia Olkhovskaya, Jack J. Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei:
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. NeurIPS 2023 - [i27]Rui M. Castro, Fredrik Hellström, Tim van Erven:
Adaptive Selective Sampling for Online Prediction with Experts. CoRR abs/2302.08397 (2023) - [i26]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Accelerated Rates between Stochastic and Adversarial Online Convex Optimization. CoRR abs/2303.03272 (2023) - [i25]Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen:
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. CoRR abs/2304.12768 (2023) - [i24]Julia Olkhovskaya, Jack J. Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei:
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. CoRR abs/2305.00832 (2023) - [i23]Hidde Fokkema, Damien Garreau, Tim van Erven:
The Risks of Recourse in Binary Classification. CoRR abs/2306.00497 (2023) - [i22]Sarah Sachs, Tim van Erven, Liam Hodgkinson, Rajiv Khanna, Umut Simsekli:
Generalization Guarantees via Algorithm-dependent Rademacher Complexity. CoRR abs/2307.02501 (2023) - 2022
- [c20]Dirk van der Hoeven, Hédi Hadiji, Tim van Erven:
Distributed Online Learning for Joint Regret with Communication Constraints. ALT 2022: 1003-1042 - [c19]Jack J. Mayo, Hédi Hadiji, Tim van Erven:
Scale-free Unconstrained Online Learning for Curved Losses. COLT 2022: 4464-4497 - [c18]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. NeurIPS 2022 - [i21]Jack J. Mayo, Hédi Hadiji, Tim van Erven:
Scale-free Unconstrained Online Learning for Curved Losses. CoRR abs/2202.05630 (2022) - [i20]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. CoRR abs/2202.07554 (2022) - [i19]Hidde Fokkema, Rianne de Heide, Tim van Erven
:
Attribution-based Explanations that Provide Recourse Cannot be Robust. CoRR abs/2205.15834 (2022) - [i18]Thom Neuteboom, Tim van Erven:
Modifying Squint for Prediction with Expert Advice in a Changing Environment. CoRR abs/2209.06826 (2022) - 2021
- [j5]Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven:
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. J. Mach. Learn. Res. 22: 161:1-161:61 (2021) - [c17]Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. COLT 2021: 4174-4194 - [i17]Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven:
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. CoRR abs/2102.06622 (2021) - [i16]Dirk van der Hoeven, Hédi Hadiji, Tim van Erven:
Distributed Online Learning for Joint Regret with Communication Constraints. CoRR abs/2102.07521 (2021) - [i15]Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. CoRR abs/2107.01881 (2021) - 2020
- [c16]Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen:
Open Problem: Fast and Optimal Online Portfolio Selection. COLT 2020: 3864-3869 - [i14]Georgios Vlassopoulos, Tim van Erven, Henry Brighton, Vlado Menkovski:
Explaining Predictions by Approximating the Local Decision Boundary. CoRR abs/2006.07985 (2020)
2010 – 2019
- 2019
- [c15]Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven:
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. COLT 2019: 2490-2511 - [i13]Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven:
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. CoRR abs/1902.10797 (2019) - 2018
- [c14]Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski:
The Many Faces of Exponential Weights in Online Learning. COLT 2018: 2067-2092 - [i12]Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski:
The Many Faces of Exponential Weights in Online Learning. CoRR abs/1802.07543 (2018) - 2016
- [c13]Tim van Erven, Wouter M. Koolen:
MetaGrad: Multiple Learning Rates in Online Learning. NIPS 2016: 3666-3674 - [c12]Wouter M. Koolen, Peter Grünwald, Tim van Erven:
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning. NIPS 2016: 4457-4465 - [i11]Tim van Erven, Wouter M. Koolen:
MetaGrad: Multiple Learning Rates in Online Learning. CoRR abs/1604.08740 (2016) - [i10]Wouter M. Koolen, Peter Grünwald, Tim van Erven:
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning. CoRR abs/1605.06439 (2016) - 2015
- [j4]Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson:
Fast rates in statistical and online learning. J. Mach. Learn. Res. 16: 1793-1861 (2015) - [c11]Wouter M. Koolen, Tim van Erven:
Second-order Quantile Methods for Experts and Combinatorial Games. COLT 2015: 1155-1175 - [i9]Wouter M. Koolen, Tim van Erven:
Second-order Quantile Methods for Experts and Combinatorial Games. CoRR abs/1502.08009 (2015) - [i8]Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson:
Fast rates in statistical and online learning. CoRR abs/1507.02592 (2015) - 2014
- [j3]Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen:
Follow the leader if you can, hedge if you must. J. Mach. Learn. Res. 15(1): 1281-1316 (2014) - [j2]Tim van Erven, Peter Harremoës:
Rényi Divergence and Kullback-Leibler Divergence. IEEE Trans. Inf. Theory 60(7): 3797-3820 (2014) - [c10]Pierre Gaillard, Gilles Stoltz, Tim van Erven:
A second-order bound with excess losses. COLT 2014: 176-196 - [c9]Tim van Erven, Wojciech Kotlowski:
Follow the Leader with Dropout Perturbations. COLT 2014: 949-974 - [c8]Wouter M. Koolen, Tim van Erven, Peter Grünwald:
Learning the Learning Rate for Prediction with Expert Advice. NIPS 2014: 2294-2302 - [i7]Pierre Gaillard, Gilles Stoltz, Tim van Erven:
A Second-order Bound with Excess Losses. CoRR abs/1402.2044 (2014) - 2013
- [i6]Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen:
Follow the Leader If You Can, Hedge If You Must. CoRR abs/1301.0534 (2013) - 2012
- [j1]Tim van Erven, Mark D. Reid, Robert C. Williamson:
Mixability is Bayes Risk Curvature Relative to Log Loss. J. Mach. Learn. Res. 13: 1639-1663 (2012) - [c7]Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson:
Mixability in Statistical Learning. NIPS 2012: 1700-1708 - [i5]Tim van Erven, Peter Harremoës:
Rényi Divergence and Kullback-Leibler Divergence. CoRR abs/1206.2459 (2012) - 2011
- [c6]Tim van Erven, Peter Grunwald, Wouter M. Koolen, Steven de Rooij:
Adaptive Hedge. NIPS 2011: 1656-1664 - [c5]Tim van Erven, Mark D. Reid, Robert C. Williamson:
Mixability is Bayes Risk Curvature Relative to Log Loss. COLT 2011: 233-252 - 2010
- [c4]Tim van Erven, Peter Harremoës:
Rényi divergence and majorization. ISIT 2010: 1335-1339 - [i4]Tim van Erven, Peter Harremoës:
Rényi Divergence and Its Properties. CoRR abs/1001.4448 (2010) - [i3]Wouter M. Koolen, Tim van Erven:
Switching between Hidden Markov Models using Fixed Share. CoRR abs/1008.4532 (2010) - [i2]Wouter M. Koolen, Tim van Erven:
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors. CoRR abs/1008.4654 (2010)
2000 – 2009
- 2009
- [c3]Steven de Rooij, Tim van Erven:
Learning the Switching Rate by Discretising Bernoulli Sources Online. AISTATS 2009: 432-439 - 2008
- [c2]Peter Grunwald, Steven de Rooij, Tim van Erven:
The Catch-Up Phenomenon. ITW 2008: 259-260 - [i1]Tim van Erven, Peter Grünwald, Steven de Rooij:
Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma. CoRR abs/0807.1005 (2008) - 2007
- [c1]Tim van Erven, Peter Grunwald, Steven de Rooij:
Catching Up Faster in Bayesian Model Selection and Model Averaging. NIPS 2007: 417-424
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
