File size: 23,694 Bytes
2d1810a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 | % universal approximation
@article{hornik1989multilayer,
title={Multilayer feedforward networks are universal approximators},
author={Hornik, Kurt and Stinchcombe, Maxwell and White, Halbert},
journal={Neural networks},
volume={2},
number={5},
pages={359--366},
year={1989},
publisher={Elsevier}
}
@article{pinkus1999approximation,
title={Approximation theory of the MLP model in neural networks},
author={Pinkus, Allan},
journal={Acta numerica},
volume={8},
pages={143--195},
year={1999},
publisher={Cambridge University Press}
}
@article{yarotsky2022universal,
title={Universal approximations of invariant maps by neural networks},
author={Yarotsky, Dmitry},
journal={Constructive Approximation},
volume={55},
number={1},
pages={407--474},
year={2022},
publisher={Springer}
}
@article{bronstein2021geometric,
title={Geometric deep learning: Grids, groups, graphs, geodesics, and gauges},
author={Bronstein, Michael M and Bruna, Joan and Cohen, Taco and Veli{\v{c}}kovi{\'c}, Petar},
journal={arXiv preprint arXiv:2104.13478},
year={2021}
}
@article{liang2016deep,
title={Why deep neural networks for function approximation?},
author={Liang, Shiyu and Srikant, Rayadurgam},
journal={arXiv preprint arXiv:1610.04161},
year={2016}
}
@article{lu2021deep,
title={Deep network approximation for smooth functions},
author={Lu, Jianfeng and Shen, Zuowei and Yang, Haizhao and Zhang, Shijun},
journal={SIAM Journal on Mathematical Analysis},
volume={53},
number={5},
pages={5465--5506},
year={2021},
publisher={SIAM}
}
% --------
% simple convex
@inproceedings{balazs2015near,
title={Near-optimal max-affine estimators for convex regression},
author={Bal{\'a}zs, G{\'a}bor and Gy{\"o}rgy, Andr{\'a}s and Szepesv{\'a}ri, Csaba},
booktitle={Artificial Intelligence and Statistics},
pages={56--64},
year={2015},
organization={PMLR}
}
@article{magnani2009convex,
title={Convex piecewise-linear fitting},
author={Magnani, Alessandro and Boyd, Stephen P},
journal={Optimization and Engineering},
volume={10},
pages={1--17},
year={2009},
publisher={Springer}
}
@article{calafiore2019log,
title={Log-sum-exp neural networks and posynomial models for convex and log-log-convex data},
author={Calafiore, Giuseppe C and Gaubert, Stephane and Possieri, Corrado},
journal={IEEE transactions on neural networks and learning systems},
volume={31},
number={3},
pages={827--838},
year={2019},
publisher={IEEE}
}
@article{kim2022parameterized,
title={Parameterized convex universal approximators for decision-making problems},
author={Kim, Jinrae and Kim, Youdan},
journal={IEEE Transactions on Neural Networks and Learning Systems},
volume={35},
number={2},
pages={2448--2459},
year={2022},
publisher={IEEE}
}
% --------
% complicated convex
@article{warin2023groupmax,
title={The GroupMax neural network approximation of convex functions},
author={Warin, Xavier},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2023},
publisher={IEEE}
}
@inproceedings{amos2017input,
title={Input convex neural networks},
author={Amos, Brandon and Xu, Lei and Kolter, J Zico},
booktitle={International conference on machine learning},
pages={146--155},
year={2017},
organization={PMLR}
}
% ---------
% gradient
@article{chaudhari2024gradient,
title={Gradient Networks},
author={Chaudhari, Shreyas and Pranav, Srinivasa and Moura, Jos{\'e} MF},
journal={IEEE Transactions on Signal Processing},
year={2024},
publisher={IEEE}
}
@article{lorraine2024jacnet,
title={Jacnet: Learning functions with structured jacobians},
author={Lorraine, Jonathan and Hossain, Safwan},
journal={arXiv preprint arXiv:2408.13237},
year={2024}
}
@article{richter2021input,
title={Input convex gradient networks},
author={Richter-Powell, Jack and Lorraine, Jonathan and Amos, Brandon},
journal={arXiv preprint arXiv:2111.12187},
year={2021}
}
@article{saremi2019approximating,
title={On approximating $\nabla f$ with neural networks},
author={Saremi, Saeed},
journal={arXiv preprint arXiv:1910.12744},
year={2019}
}
% --------------------------------------
% functional optimization of convex functions
@article{chen2018optimal,
title={Optimal control via neural networks: A convex approach},
author={Chen, Yize and Shi, Yuanyuan and Zhang, Baosen},
journal={arXiv preprint arXiv:1805.11835},
year={2018}
}
@article{huang2020convex,
title={
Potential flows: Universal probability distributions with optimal transport and convex optimization},
author={Huang, Chin-Wei and Chen, Ricky TQ and Tsirigotis, Christos and Courville, Aaron},
journal={arXiv preprint arXiv:2012.05942},
year={2020}
}
@inproceedings{makkuva2020optimal,
title={Optimal transport mapping via input convex neural networks},
author={Makkuva, Ashok and Taghvaei, Amirhossein and Oh, Sewoong and Lee, Jason},
booktitle={International Conference on Machine Learning},
pages={6672--6681},
year={2020},
organization={PMLR},
}
@article{alvarez2021optimizing,
title={Optimizing functionals on the space of probabilities with input convex neural networks},
author={Alvarez-Melis, David and Schiff, Yair and Mroueh, Youssef},
journal={arXiv preprint arXiv:2106.00774},
year={2021}
}
% --------------------------------
% abstract convexity
@book{van1993theory,
title={Theory of convex structures},
author={van De Vel, Marcel LJ},
volume={50},
year={1993},
publisher={Elsevier}
}
@book{pallaschke2013foundations,
title={Foundations of mathematical optimization: convex analysis without linearity},
author={Pallaschke, Diethard Ernst and Rolewicz, Stefan},
volume={388},
year={2013},
publisher={Springer Science \& Business Media}
}
@article{singer1997abstract,
title={Abstract convex analysis},
author={Singer, Ivan},
journal={(No Title)},
year={1997}
}
@book{rubinov2013abstract,
title={Abstract convexity and global optimization},
author={Rubinov, Alexander M},
volume={44},
year={2013},
publisher={Springer Science \& Business Media}
}
% --------------------------------
% mechanism design and numeric optimization
@inproceedings{sandholm2003automated,
title={Automated mechanism design: A new application area for search algorithms},
author={Sandholm, Tuomas},
booktitle={International Conference on Principles and Practice of Constraint Programming},
pages={19--36},
year={2003},
organization={Springer}
}
@inproceedings{shen2020reinforcement,
title={Reinforcement mechanism design: With applications to dynamic pricing in sponsored search auctions},
author={Shen, Weiran and Peng, Binghui and Liu, Hanpeng and Zhang, Michael and Qian, Ruohan and Hong, Yan and Guo, Zhi and Ding, Zongyao and Lu, Pengjun and Tang, Pingzhong},
booktitle={Proceedings of the AAAI conference on artificial intelligence},
volume={34},
number={02},
pages={2236--2243},
year={2020}
}
@InProceedings{pmlr-v119-deng20d,
title = {Robust Pricing in Dynamic Mechanism Design},
author = {Deng, Yuan and Lahaie, Sebastien and Mirrokni, Vahab},
booktitle = {Proceedings of the 37th International Conference on Machine Learning},
pages = {2494--2503},
year = {2020},
editor = {III, Hal Daumé and Singh, Aarti},
volume = {119},
series = {Proceedings of Machine Learning Research},
month = {13--18 Jul},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v119/deng20d/deng20d.pdf},
url = {https://proceedings.mlr.press/v119/deng20d.html},
abstract = {Motivated by the repeated sale of online ads via auctions, optimal pricing in repeated auctions has attracted a large body of research. While dynamic mechanisms offer powerful techniques to improve on both revenue and efficiency by optimizing auctions across different items, their reliance on exact distributional information of buyers’ valuations (present and future) limits their use in practice. In this paper, we proOptimal Transport Networks in Spatial Equilibrium
pose robust dynamic mechanism design. We develop a new framework to design dynamic mechanisms that are robust to both estimation errors in value distributions and strategic behavior. We apply the framework in learning environments, leading to the first policy that achieves provably low regret against the optimal dynamic mechanism in contextual auctions, where the dynamic benchmark has full and accurate distributional information.}
}
@article{balcan2008reducing,
title={Reducing mechanism design to algorithm design via machine learning},
author={Balcan, Maria-Florina and Blum, Avrim and Hartline, Jason D and Mansour, Yishay},
journal={Journal of Computer and System Sciences},
volume={74},
number={8},
pages={1245--1270},
year={2008},
publisher={Elsevier}
}
% ---------------------------------
% Mechanism dsign and optimal transport
@article{roberts1979characterization,
title={The characterization of implementable choice rules},
author={Roberts, Kevin},
journal={Aggregation and revelation of preferences},
volume={12},
number={2},
pages={321--348},
year={1979},
publisher={North Holland Publishing Company}
}
@article{ashlagi2010monotonicity,
title={Monotonicity and implementability},
author={Ashlagi, Itai and Braverman, Mark and Hassidim, Avinatan and Monderer, Dov},
journal={Econometrica},
volume={78},
number={5},
pages={1749--1772},
year={2010},
publisher={Wiley Online Library}
}
@article{rochet1987necessary,
title={A necessary and sufficient condition for rationalizability in a quasi-linear context},
author={Rochet, Jean-Charles},
journal={Journal of mathematical Economics},
volume={16},
number={2},
pages={191--200},
year={1987},
publisher={Elsevier}
}
@article{figalli2011multidimensional,
title={When is multidimensional screening a convex program?},
author={Figalli, Alessio and Kim, Young-Heon and McCann, Robert J},
journal={Journal of Economic Theory},
volume={146},
number={2},
pages={454--478},
year={2011},
publisher={Elsevier}
}
% --------------------------------
% metric
@article{torous2024optimal,
title={An optimal transport approach to estimating causal effects via nonlinear difference-in-differences},
author={Torous, William and Gunsilius, Florian and Rigollet, Philippe},
journal={Journal of Causal Inference},
volume={12},
number={1},
pages={20230004},
year={2024},
publisher={De Gruyter}
}
@book{kim2024semi,
title={Semi-nonparametric models of multidimensional matching: an optimal transport approach},
author={Kim, Dongwoo and Lee, Young Jun},
year={2024},
publisher={Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal~…}
}
@article{chernozhukov2021identification,
title={Identification of hedonic equilibrium and nonseparable simultaneous equations},
author={Chernozhukov, Victor and Galichon, Alfred and Henry, Marc and Pass, Brendan},
journal={Journal of Political Economy},
volume={129},
number={3},
pages={842--870},
year={2021},
publisher={The University of Chicago Press Chicago, IL}
}
@article{ekeland2004identification,
title={Identification and estimation of hedonic models},
author={Ekeland, Ivar and Heckman, James J and Nesheim, Lars},
journal={Journal of political economy},
volume={112},
number={S1},
pages={S60--S109},
year={2004},
publisher={The University of Chicago Press}
}
@article{galichon2017survey,
title={A survey of some recent applications of optimal transport methods to econometrics},
author={Galichon, Alfred},
journal={The Econometrics Journal},
volume={20},
number={2},
pages={C1--C11},
year={2017},
publisher={Oxford University Press Oxford, UK}
}
@article{dupuy2019estimating,
title={Estimating matching affinity matrices under low-rank constraints},
author={Dupuy, Arnaud and Galichon, Alfred and Sun, Yifei},
journal={Information and Inference: A Journal of the IMA},
volume={8},
number={4},
pages={677--689},
year={2019},
publisher={Oxford University Press}
}
% labor
@techreport{boerma2021sorting,
title={Sorting with team formation},
author={Boerma, Job and Tsyvinski, Aleh and Zimin, Alexander P},
year={2021},
institution={National Bureau of Economic Research}
}
% marriage
@article{becker1973theory,
title={A theory of marriage: Part I},
author={Becker, Gary S},
journal={Journal of Political economy},
volume={81},
number={4},
pages={813--846},
year={1973},
publisher={The University of Chicago Press}
}
@article{shapley1971assignment,
title={The assignment game I: The core},
author={Shapley, Lloyd S and Shubik, Martin},
journal={International Journal of game theory},
volume={1},
number={1},
pages={111--130},
year={1971},
publisher={Springer}
}
@article{carlier2010matching,
title={Matching for teams},
author={Carlier, Guillaume and Ekeland, Ivar},
journal={Economic theory},
volume={42},
pages={397--418},
year={2010},
publisher={Springer}
}
% trade
@article{wilson1969use,
title={The use of entropy maximising models, in the theory of trip distribution, mode split and route split},
author={Wilson, Alan Geoffrey},
journal={Journal of transport economics and policy},
pages={108--126},
year={1969},
publisher={JSTOR}
}
@article{silva2006log,
title={The log of gravity},
author={Silva, JMC Santos and Tenreyro, Silvana},
journal={The Review of Economics and statistics},
pages={641--658},
year={2006},
publisher={JSTOR}
}
% hedonic
@article{chiappori2010hedonic,
title={Hedonic price equilibria, stable matching, and optimal transport: equivalence, topology, and uniqueness},
author={Chiappori, Pierre-Andr{\'e} and McCann, Robert J and Nesheim, Lars P},
journal={Economic Theory},
volume={42},
pages={317--354},
year={2010},
publisher={Springer}
}
@article{ekeland2010existence,
title={Existence, uniqueness and efficiency of equilibrium in hedonic markets with multidimensional types},
author={Ekeland, Ivar},
journal={Economic Theory},
volume={42},
number={2},
pages={275--315},
year={2010},
publisher={Springer}
}
% discrete choice
@article{galichon2022cupid,
title={Cupid’s invisible hand: Social surplus and identification in matching models},
author={Galichon, Alfred and Salani{\'e}, Bernard},
journal={The Review of Economic Studies},
volume={89},
number={5},
pages={2600--2629},
year={2022},
publisher={Oxford University Press}
}
@article{chiong2016duality,
title={Duality in dynamic discrete-choice models},
author={Chiong, Khai Xiang and Galichon, Alfred and Shum, Matt},
journal={Quantitative Economics},
volume={7},
number={1},
pages={83--115},
year={2016},
publisher={Wiley Online Library}
}
% trafic
@article{santambrogio2007transport,
title={Transport and concentration problems with interaction effects},
author={Santambrogio, Filippo},
journal={Journal of Global Optimization},
volume={38},
number={1},
pages={129--141},
year={2007},
publisher={Springer}
}
@article{buttazzo2005model,
title={A model for the optimal planning of an urban area},
author={Buttazzo, Giuseppe and Santambrogio, Filippo},
journal={SIAM journal on mathematical analysis},
volume={37},
number={2},
pages={514--530},
year={2005},
publisher={SIAM}
}
@article{carlier2005variational,
title={A variational model for urban planning with traffic congestion},
author={Carlier, Guillaume and Santambrogio, Filippo},
journal={ESAIM: Control, Optimisation and Calculus of Variations},
volume={11},
number={4},
pages={595--613},
year={2005},
publisher={EDP Sciences}
}
policy
@article{buttazzo2006optimal,
title={Optimal pricing policies for public transportation networks},
author={Buttazzo, Giuseppe and Pratelli, Aldo and Stepanov, Eugene},
journal={Siam Journal on Optimization},
volume={16},
number={3},
pages={826--853},
year={2006},
publisher={SIAM}
}
@article{buttazzo2013optimal,
title={Optimal spatial pricing strategies with transportation costs},
author={Buttazzo, Giuseppe and Carlier, Guillaume},
journal={arXiv preprint arXiv:1312.6500},
year={2013}
}
@book{buttazzo2008optimal,
title={Optimal urban networks via mass transportation},
author={Buttazzo, Giuseppe and Pratelli, Aldo and Solimini, Sergio and Stepanov, Eugene},
year={2008},
publisher={Springer Science \& Business Media}
}
@techreport{steinerberger2019tax,
title={Tax mechanisms and gradient flows},
author={Steinerberger, Stefan and Tsyvinski, Aleh},
year={2019},
institution={National Bureau of Economic Research}
}
% city eq
@article{carlier2007equilibrium,
title={Equilibrium structure of a bidimensional asymmetric city},
author={Carlier, Guillaume and Ekeland, Ivar},
journal={Nonlinear Analysis: Real World Applications},
volume={8},
number={3},
pages={725--748},
year={2007},
publisher={Elsevier}
}
@article{fajgelbaum2020optimal,
title={Optimal transport networks in spatial equilibrium},
author={Fajgelbaum, Pablo D and Schaal, Edouard},
journal={Econometrica},
volume={88},
number={4},
pages={1411--1452},
year={2020},
publisher={Wiley Online Library}
}
% Principle-Agent
@article{carlier2001general,
title={A general existence result for the principal-agent problem with adverse selection},
author={Carlier, Guillaume},
journal={Journal of Mathematical Economics},
volume={35},
number={1},
pages={129--150},
year={2001},
publisher={Elsevier}
}
@article{rochet1998ironing,
title={Ironing, sweeping, and multidimensional screening},
author={Rochet, Jean-Charles and Chon{\'e}, Philippe},
journal={Econometrica},
pages={783--826},
year={1998},
publisher={JSTOR}
}
@article{rochet1985taxation,
title={The taxation principle and multi-time Hamilton-Jacobi equations},
author={Rochet, Jean-Charles},
journal={Journal of Mathematical Economics},
volume={14},
number={2},
pages={113--128},
year={1985},
publisher={Elsevier}
}
@inproceedings{daskalakis2013mechanism,
title={Mechanism design via optimal transport},
author={Daskalakis, Constantinos and Deckelbaum, Alan and Tzamos, Christos},
booktitle={Proceedings of the fourteenth ACM conference on Electronic commerce},
pages={269--286},
year={2013}
}
@inproceedings{daskalakis2015strong,
title={Strong duality for a multiple-good monopolist},
author={Daskalakis, Constantinos and Deckelbaum, Alan and Tzamos, Christos},
booktitle={Proceedings of the Sixteenth ACM Conference on Economics and Computation},
pages={449--450},
year={2015}
}
@article{kolesnikov2022beckmann,
title={Beckmann's approach to multi-item multi-bidder auctions},
author={Kolesnikov, Alexander V and Sandomirskiy, Fedor and Tsyvinski, Aleh and Zimin, Alexander P},
journal={arXiv preprint arXiv:2203.06837},
year={2022}
}
% persuasion
@article{kolotilin2022persuasion,
title={Persuasion with non-linear preferences},
author={Kolotilin, Anton and Corrao, Roberto and Wolitzky, Alexander},
journal={arXiv preprint arXiv:2206.09164},
year={2022}
}
@article{arieli2023persuasion,
title={Persuasion as transportation},
author={Arieli, Itai and Babichenko, Yakov and Sandomirskiy, Fedor},
journal={arXiv preprint arXiv:2307.07672},
year={2023}
}
@article{lin2024credible,
title={Credible persuasion},
author={Lin, Xiao and Liu, Ce},
journal={Journal of Political Economy},
volume={132},
number={7},
pages={2228--2273},
year={2024},
publisher={The University of Chicago Press Chicago, IL}
}
@article{malamud2021persuasion,
title={Persuasion by dimension reduction},
author={Malamud, Semyon and Schrimpf, Andreas},
journal={arXiv preprint arXiv:2110.08884},
year={2021}
}
@article{cieslak2021optimal,
title={Optimal transport of information},
author={Cieslak, Anna and Malamud, Semyon and Schrimpf, Andreas},
year={2021},
publisher={CEPR Discussion Paper No. DP15859}
}
% -------------------------------------------
% misc
@article{lecun1989backpropagation,
title={Backpropagation applied to handwritten zip code recognition},
author={LeCun, Yann and Boser, Bernhard and Denker, John S and Henderson, Donnie and Howard, Richard E and Hubbard, Wayne and Jackel, Lawrence D},
journal={Neural computation},
volume={1},
number={4},
pages={541--551},
year={1989},
publisher={MIT Press}
}
@article{fan2020scalable,
title={Scalable computations of wasserstein barycenter via input convex neural networks},
author={Fan, Jiaojiao and Taghvaei, Amirhossein and Chen, Yongxin},
journal={arXiv preprint arXiv:2007.04462},
year={2020}
}
@article{chen2018neural,
title={Neural ordinary differential equations},
author={Chen, Ricky TQ and Rubanova, Yulia and Bettencourt, Jesse and Duvenaud, David K},
journal={Advances in neural information processing systems},
volume={31},
year={2018}
}
% ----------------------------
% single crossing
@article{mirrlees1971exploration,
title={An exploration in the theory of optimum income taxation},
author={Mirrlees, James A},
journal={The review of economic studies},
volume={38},
number={2},
pages={175--208},
year={1971},
publisher={Wiley-Blackwell}
}
@incollection{spence1978job,
title={Job market signaling},
author={Spence, Michael},
booktitle={Uncertainty in economics},
pages={281--306},
year={1978},
publisher={Elsevier}
}
@article{brenier1991polar,
title={Polar factorization and monotone rearrangement of vector-valued functions},
author={Brenier, Yann},
journal={Communications on pure and applied mathematics},
volume={44},
number={4},
pages={375--417},
year={1991},
publisher={Wiley Online Library}
}
@article{ekeland2010notes,
title={Notes on optimal transportation},
author={Ekeland, Ivar},
journal={Economic Theory},
pages={437--459},
year={2010},
publisher={JSTOR}
}
@book{cannarsa2004semiconcave,
title={Semiconcave Functions, Hamilton—Jacobi Equations, and Optimal Control},
author={Cannarsa, Piermarco and Sinestrari, Carlo},
year={2004},
publisher={Springer}
}
@article{armstrong1996multiproduct,
title={Multiproduct nonlinear pricing},
author={Armstrong, Mark},
journal={Econometrica: Journal of the Econometric Society},
pages={51--75},
year={1996},
publisher={JSTOR}
}
@article{manelli2006bundling,
title={Bundling as an optimal selling mechanism for a multiple-good monopolist},
author={Manelli, Alejandro M and Vincent, Daniel R},
journal={Journal of Economic Theory},
volume={127},
number={1},
pages={1--35},
year={2006},
publisher={Elsevier}
}
@article{manelli2007multidimensional,
title={Multidimensional mechanism design: Revenue maximization and the multiple-good monopoly},
author={Manelli, Alejandro M and Vincent, Daniel R},
journal={Journal of Economic theory},
volume={137},
number={1},
pages={153--185},
year={2007},
publisher={Elsevier}
}
@inproceedings{giannakopoulos2014duality,
title={Duality and optimality of auctions for uniform distributions},
author={Giannakopoulos, Yiannis and Koutsoupias, Elias},
booktitle={Proceedings of the fifteenth ACM conference on Economics and computation},
pages={259--276},
year={2014}
}
@article{joswig2022generalized,
title={Generalized permutahedra and optimal auctions},
author={Joswig, Michael and Klimm, Max and Spitz, Sylvain},
journal={SIAM Journal on Applied Algebra and Geometry},
volume={6},
number={4},
pages={711--739},
year={2022},
publisher={SIAM}
} |