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Mark D. Reid
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- affiliation: Apple, Canberra, ACT, Australia
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2020 – today
- 2022
- [i14]Mark D. Reid, James Montgomery, Barry J. Drake, Avraham Ruderman:
PSI Draft Specification. CoRR abs/2205.09488 (2022)
2010 – 2019
- 2016
- [j8]Robert C. Williamson, Elodie Vernet, Mark D. Reid:
Composite Multiclass Losses. J. Mach. Learn. Res. 17: 223:1-223:52 (2016) - [c20]Finnian Lattimore, Tor Lattimore, Mark D. Reid:
Causal Bandits: Learning Good Interventions via Causal Inference. NIPS 2016: 1181-1189 - [e1]Louis Dorard, Mark D. Reid, Francisco J. Martin:
Proceedings of the 2nd International Conference on Predictive APIs and Apps, PAPIs 2015, Sydney, Australia, August 6-7, 2015. JMLR Workshop and Conference Proceedings 50, JMLR.org 2016 [contents] - [i13]Nicolás Della Penna, Mark D. Reid, David Balduzzi:
Compliance-Aware Bandits. CoRR abs/1602.02852 (2016) - [i12]Finnian Lattimore, Tor Lattimore, Mark D. Reid:
Causal Bandits: Learning Good Interventions via Causal Inference. CoRR abs/1606.03203 (2016) - 2015
- [j7]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) - [j6]Qinfeng Shi
, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 2-12 (2015) - [c19]Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta:
Generalized Mixability via Entropic Duality. COLT 2015: 1501-1522 - [c18]Rafael M. Frongillo, Mark D. Reid:
Convergence Analysis of Prediction Markets via Randomized Subspace Descent. NIPS 2015: 3034-3042 - [c17]James Montgomery
Protocols and Structures for Inference: A RESTful API for Machine Learning. PAPIs 2015: 29-42 - [i11]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
- [j5]Peng Sun, Mark D. Reid, Jie Zhou:
An improved multiclass LogitBoost using adaptive-one-vs-one. Mach. Learn. 97(3): 295-326 (2014) - [i10]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang:
A Hybrid Loss for Multiclass and Structured Prediction. CoRR abs/1402.1921 (2014) - [i9]Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson:
Generalised Mixability, Constant Regret, and Bayesian Updating. CoRR abs/1403.2433 (2014) - [i8]Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta:
Generalized Mixability via Entropic Duality. CoRR abs/1406.6130 (2014) - [i7]Rafael M. Frongillo, Mark D. Reid:
Risk Dynamics in Trade Networks. CoRR abs/1410.0413 (2014) - 2013
- [c16]Mindika Premachandra, Mark D. Reid:
Aggregating Predictions via Sequential Mini-Trading. ACML 2013: 373-387 - 2012
- [j4]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) - [c15]Mark D. Reid, Robert C. Williamson, Peng Sun:
The Convexity and Design of Composite Multiclass Losses. ICML 2012 - [c14]Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson:
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. ICML 2012 - [c13]Peng Sun, Mark D. Reid, Jie Zhou:
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. ICML 2012 - [c12]Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson:
Mixability in Statistical Learning. NIPS 2012: 1700-1708 - [c11]Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo:
Interpreting prediction markets: a stochastic approach. NIPS 2012: 3275-3283 - [i6]Nicolás Della Penna, Mark D. Reid:
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard. CoRR abs/1204.3511 (2012) - [i5]Mark D. Reid, Robert C. Williamson, Peng Sun:
The Convexity and Design of Composite Multiclass Losses. CoRR abs/1206.4663 (2012) - [i4]Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson:
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. CoRR abs/1206.4664 (2012) - 2011
- [j3]Mark D. Reid, Robert C. Williamson:
Information, Divergence and Risk for Binary Experiments. J. Mach. Learn. Res. 12: 731-817 (2011) - [c10]Elodie Vernet, Robert C. Williamson, Mark D. Reid:
Composite Multiclass Losses. NIPS 2011: 1224-1232 - [c9]Tim van Erven, Mark D. Reid, Robert C. Williamson:
Mixability is Bayes Risk Curvature Relative to Log Loss. COLT 2011: 233-252 - [i3]Nicolás Della Penna, Mark D. Reid:
Bandit Market Makers. CoRR abs/1112.0076 (2011) - 2010
- [j2]Mark D. Reid, Robert C. Williamson:
Composite Binary Losses. J. Mach. Learn. Res. 11: 2387-2422 (2010) - [c8]Mark D. Reid, Robert C. Williamson:
Convexity of Proper Composite Binary Losses. AISTATS 2010: 637-644 - [r1]Mark D. Reid:
Generalization Bounds. Encyclopedia of Machine Learning 2010: 447-454 - [i2]Qinfeng Shi, Mark D. Reid, Tibério S. Caetano:
Conditional Random Fields and Support Vector Machines: A Hybrid Approach. CoRR abs/1009.3346 (2010)
2000 – 2009
- 2009
- [c7]Mark D. Reid, Robert C. Williamson:
Generalised Pinsker Inequalities. COLT 2009 - [c6]Novi Quadrianto
Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009: 938-943 - [c5]Mark D. Reid, Robert C. Williamson:
Surrogate regret bounds for proper losses. ICML 2009: 897-904 - [i1]Mark D. Reid, Robert C. Williamson:
Generalised Pinsker Inequalities. CoRR abs/0906.1244 (2009) - 2007
- [b1]Mark D. Reid:
DEFT guessing: using inductive transfer to improve rule evaluation from limited data. University of New South Wales, Sydney, Australia, 2007 - 2004
- [c4]Mark D. Reid:
Improving Rule Evaluation Using Multitask Learning. ILP 2004: 252-269 - 2002
- [j1]Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz:
Cross training and its application to skill mining. IBM Syst. J. 41(3): 449-460 (2002) - 2000
- [c3]Malcolm Ryan, Mark D. Reid:
Learning to Fly: An Application of Hierarchical Reinforcement Learning. ICML 2000: 807-814 - [c2]Mark D. Reid, Malcolm Ryan:
Using ILP to Improve Planning in Hierarchical Reinforcement Learning. ILP 2000: 174-190
1990 – 1999
- 1999
- [c1]Eric McCreath, Mark D. Reid:
A Noise Resistant Model Inference System. Discovery Science 1999: 252-263
Coauthor Index
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